• Aucun résultat trouvé

Intercropping of grass cover crops in banana plantations: Impacts on banana growth and yield

N/A
N/A
Protected

Academic year: 2021

Partager "Intercropping of grass cover crops in banana plantations: Impacts on banana growth and yield"

Copied!
8
0
0

Texte intégral

(1)Trop. Agr. Develop. 62(1):1 - 8,2018. Intercropping of Grass Cover Crops in Banana Plantations: Impacts on Banana Growth and Yield Raphaël ACHARD1, *, Philippe TIXIER1, 2, Marc DOREL3, and Jean ROGER ESTRADE4 CIRAD, Ecological Functioning and Sustainable Management of Banana and Pineapple Cropping Systems, CAEC-BP214, 97285 Le Lamentin Cedex 2, Martinique, France. 1. 2. CATIE, Departamento de Agricultura y Agroforesteria, 7170, Cartago, Turrialba 30501, Costa Rica CIRAD, Ecological Functioning and Sustainable Management of Banana and Pineapple Cropping Systems, Neufchâteau - 97130 Capesterre, Guadeloupe, France. 3. 4. AgroParisTech, UMR211 Agronomie, F-78850 Thiverval-Grignon, France. Abstract Intercropping banana crop with a grass cover controlled by mowing is a possible alternative to chemical weed control. However, before adopting this biological way to control weeds, it is crucial to study the impact of the cover crop on banana productivity. In a field experiment, we studied the impact on the banana (Musa spp., cv Cavendish) growth and yield of two grass covers, Cynodon dactylon (Cyn) and Brachiaria decumbens (Bra), managed by mowing every two months, in comparison to conventional weed chemical control (control). The experiment was conducted during two banana cycles. Two months after banana plantating, Bra produced more biomass than Cyn (0.94 kg DM m-2 vs 0.53 kg DM m-2); afterwards both biomass productions became equivalent (0.24 kg DM m-2) when the banana plants shaded the grass. Results showed that these cover crops have impeded the banana growth and development during the first cycle: in comparison to the control, the flowering date was delayed in both cover treatments and the number of fruits per bunch was reduced in the Cyn cover treatment. During the second cycle, as a consequence of the delayed flowering date at the first cycle, banana development was also delayed on Cyn and Bra treatments. However, the presence of Cyn and Bra cover crops had no influence on the size and weight of the banana plants at flowering date, nor on the final crop productivity. These results were interpreted as a result of contrasted conditions of competition for nutrient during the two cycles: an important production of biomass and nutrient demand of the two cover crops during the first cycle, impacting the banana growth and delaying the flowering date and, during the second cycle, a lower biomass production of the both covers crops shaded by the banana canopy and a contribution to the nutrient supply provided by the decomposition of the mowed residues. Key words: Bananas, Brachiaria decumbens, Cover crops, Cynodon dactylon, Weed management. Introduction. minimal competition pressure on the crop. The choice of a cover crop species satisfying these criteria is touchy.. In conventional banana cropping systems in the. For instance, it has been shown (den Hollander et al.,. French West Indies, herbicides represent an important. 2007) that four 8 species of Trifolium spp., evaluated. threat for water quality, with an average use of 3-4 kg ha-1 yr-1 (Risede et al., 2010). Several solutions exist. as candidate cover crops, the traits favorable for weed. to replace chemical weed control in banana cropping. tion) were correlated with early biomass growth and. systems. Among them, intercropping bananas with per-. nutrient accumulation favoring the competition with the. control (i.e. quickness of soil cover and light intercep-. manent living cover crop could be an efficient strategy to. crop. In a wheat undersown with a grass living cover,. obtain a long-term weed control.. the competition between the crop and the service plant,. However, the main problem faced by the grower. is explained firstly by light partitioning between the. when integrating a cover crop is the competition with. crop and the cover crop in the mixed canopy layer, and. the main crop for resource acquisition of light, water. secondly by the cover crop nitrogen demand (Carof et. and nutrients. To be suitable, a cover crop species. al., 2007).. intercropped in the purpose of weed management should ideally combine sufficient weed suppression with. In the case of tall perennial crops (e.g. in orchards, banana or coffee plantations), the choice of a living cover is less problematic, because the main crop does not. Communicated by N. Kurauchi Received Mar. 25, 2016 Accepted Jul. 29, 2017 * Corresponding author raphael.achard@cirad.fr. suffer from light competition due to the living cover. In tropical citrus orchards, sown cover crops or spontaneous covers regularly mowed are used to reduce herbicide use (Le Bellec et al., 2012). In vineyard, despite a.

(2) 2. Trop. Agr. Develop. 62(1)2018. complementarity between the root distribution of the. Materials and Methods. grass cover and the crop, it has been established that grass living covers compete with the crop for mineral nitrogen resource of the soil and decreased its vegetative vigor (Celette et al., 2009). In coffee plantations, the legume cover crop, Ara-. Experimental site This study was carried out on an experimental plot in the CIRAD experimental station of Rivière Lézarde (Altitude : 50m, Latitude: 14.4 °N, Longitude: 61.5 °W) at. chis pintoi, experimented in combination with selective. Martinique, in one of the major banana production areas. slashing of the weeds, provided adequate weed control. of the island in French West Indies. The experiment was. while there were no overall differences in crop yield. conducted between April, 2008 and December, 2009.. (Aguilar et al., 2003). In banana plantations, several. The climatic conditions corresponded to a humid tropi-. grass species have shown to be promising perennial. cal climate with 2400 mm of mean annual rainfall of and. living cover crop with a good covering ability (Lesueur. 26°C of a mean annual temperature for the St Joseph. Jannoyer et al., 2011). In these conditions, the tolerance. village, with 2379 and 2387 mm of annual rainfall of and. to shade of the cover crop becomes the main driver of. 26.1 and 26.3 °C of annual mean temperature in 2008. the selection of a plant species as a good candidate to. and 2009, respectively (Meteo France, 2016). The soil of. become a cover crop in banana plantations. For instance,. the experimental plot, derived from volcanic substrate,. Fongod (2010) assessed a living cover crop, Nelsonia. is classified as a nitisol (FAO soil classification), with. canescens, a shading tolerant species selected from the. a texture composition of 65% of clay, 13% of silt, 17% of. local weed flora, and demonstrated its efficiency for. sand and 5% of gravels. The average pH was 5.8, cationic exchangeable capacity was 16 cmol eq kg-1 with ammo-. weed control in banana plantations. Furthermore, this author showed that banana yield was not impeded by Desmodium heterocapon, a high shade tolerant legume,. nium acetate method (Van Reeuwijk, 2002). The cationic content was 2.2 cmol eq kg-1K, 5.9 cmol eq kg-1Ca, 2.2 cmol eq kg-1 Mg. The soil content 1.65% of total C, with. appeared to be also an interesting cover crop for weed. a 11.7 C/N ratio, and 22 mg kg-1 content of available P,. control in banana plantations at St Vincent (Isaac et al.,. with Olsen method (Saggar et al., 1999).. the presence of the cover crop. Lastly, a living mulch of. 2007). Selecting a cover crop to provide a weed control in banana plantations consists in finding the species offer-. Weeds, cover crop and crop management, experimental design. ing the best trade-off between the following services: i). In this experiment, we compared two managements. tolerance to shading, ii) efficient weed control and iii). i) banana intercropped with Cynodon dactylon (Cyn), a. minimal competition for nutrient with the banana crop.. short grass cover (CynC plot), ii) banana intercropped. Therefore, the suitable species are located between two. with Brachiaria decumbens (Bra), a highly productive. opposite plant types: on one side, highly shade tolerant. grass cover (BraC plot) with a bare soil management. species with limited growth, and on the other side,. with systematic chemical weed control (control plot) in. species less tolerant to shade, compensated by a higher. the banana plantation. After a 3-month fallow period fol-. growth potential (Tixier et al., 2011).. lowing the destruction and burial of the previous banana. In this study, we had the objective to evaluate the. crop, the soil was tilled with a heavy spading machine. practical value of two cover crops species, used by local. at 30 cm depth. Experimental design consisted in el-. planters, exhibiting contrasted shade tolerance levels. ementary plots of 200 m2 where experimental treatment. and different potential growth characteristics. We have. was applied, repeated with a random distribution in six. chosen to evaluate the impact of those two perennial grass species Brachiaria decumbens (Bra) with a high. complete blocks. The Cynodon dactylon and Brachiaria decumbens covers were sown at 8 kg ha-1 and 12 kg ha-1. growth potential but sensitive to shading and Cynodon. respectively, at 2.5 month before banana planting. These. dactylon (Cyn) a shading tolerant species with a lower. plots have been mowed with a roller mower at a week. growth potential (Wong, 1990; Tixier et al, 2011).. before the planting of banana plantlets. In the control. We evaluated the impact of these two grass cover. plot, the spontaneous cover developed between tillage. crops, managed by mowing, on the growth and yield of. and banana planting was destroyed spraying glyphosate at 0.9 kg ha-1 just before banana planting.. a banana crop. Possible consequences for management strategies to minimize the competition between the cover and the crop are discussed.. Banana plantlets were grown with a double-row planting pattern with 1.7 m spacing between plants on.

(3) Achard et al.: Impact of an intercropped grass on banana growth and yield. the line, 1.4 m and 4.6 m spacing respectively for the. 3. dressing was calculated assuming that mineralization provides, on this nitisol, 5 kg N ha-1 week-1 (Dorel et al.,. small and the large inter-row, for a resulting density of 1960 plants ha-1 (Fig. 1). Each experimental plot in-. 2008) and decomposition of banana crop residues from. cluded 40 banana plants with a central double row. the first cycle provides 60% of their nutrient content to. and a half double row on each border. In the control,. the banana plants during the second cycle; 30% of the. the banana was cultivated in a conventional way, weed. total amount of N supplied to the banana crop was lost. being controlled solely through systematic herbicide. by leaching (Raphael et al., 2012). We proceeded to a 25. application. Mowing on CynC and BraC were done. % increase of the calculated amount of nitrogen provided. simultaneously to herbicide application in the control. during the first cycle to face the cover crop demand dur-. plots. Mowing was performed in the large inter row by a. ing its establishment.. rotary mower pulled by a small tractor. The small inter-. During the dry season, irrigation complemented. row was mowed with brush cutters during the first crop. the rainfall so that the monthly 200 mm water demand of. cycle. Afterwards, as the small inter row was covered by. banana was satisfied.. banana leaves regularly cut, no specific operation was required to control weeds (Fig. 1).. Cover crop biomass. Banana plants were fertilized by hand application. On CynC and BraC, biomass of the entire aerial. at the foot of each plant on a 0.6 meter radius disc,. parts of the plants was measured on each plot, using. the same amount of fertilizer being supplied to the. two samples of 0.0625m2 (0.25m × 0.25m), one week. control and the treatments plots. During the first cycle,. before banana planting and before mowing at 9, 16, 35,. each banana plant received 0.05 kg of di-ammonium. and 54 weeks after planting (WAP). Aliquots of these. phosphate at planting, 0.1 kg of compound fertilizer. plant samples were oven dried at 60 °C during 48 h and. (N:P2O5:K2O=14:4:28%) at 4 and 7 WAP, and afterward. weighed. N content was determined at 9 and 54 WAP by. 0.125 kg of fertilizer per month. During the second cycle. dry combustion method with a CNS autoanalyzer (Flash. each banana plant received 0.1 kg of 1compond fertilizer. EA1112, Thermo Srcientific).. once a month. Fertilizer applications resulted in a total of 250 kg N ha-1, 110 kg P2O5 ha-1 and 820 kg K2O ha-1 for the first cycle, and 240 kg N ha-1, 110 kg P2O5 ha-1 and 450. Temperature monitoring The air temperature was measured with thermo. kg K2O ha-1 for the second cycle. Concerning nitrogen,. sensors (Tinytag Plus 2, Gemini Data Loggers Ltd). the fertilization program was based on a crop nitrogen uptake of 270 and 390 kg N ha-1 for respectively the first. above ground level for the three cover treatments to. and the second banana cycle, calculated for target yields of respectively 35 and 50 t ha-1 (Lahav, 1995). Nitrogen. under a radiation shield with 10 min time step at 10 cm evaluate the impact of cover crops on temperature. This was replicated on three blocks between the 15th and the. Fig. 1. Spatial organization of the banana and cover crops management..

(4) 4. Trop. Agr. Develop. 62(1)2018. 24th week after planting of the banana crop.. parison between treatments have been performed using Tukey’s test at 95% confidence interval.. Banana growth and development observations. Results. Measurement of height and basal girth of banana pseudostem, leaves emission were performed on the 18. Biomass production of the grass cover crops and. banana plants localized at the center of each plot, once. its effect on temperature. every month between planting (or harvest of the preced-. Nine weeks after sowing, a week before planting the. ing cycle) and flower emergence for each of the two. banana plants, biomass of Bra was 1kg DM m-2 and Cyn 0.5 kg DM m-2. Bra produced higher biomass than Cyn. production cycles. At each date, length and chlorophyll content of the next to the last unfolded leaf (2nd leaf) was. significantly (p<0.05) and the spontaneous cover that. measured with a light transmittance chlorophyll meter. developed on the control plots before planting (Fig. 2).. (SPAD-502, Konica-Minolta) on the left lamina and aver-. At 9 WAP, Bra produced again more biomass than Cyn. aged along 10 points of this leaf.. significantly, and the biomass production was equivalent. At the flower emergence stage, for each banana. to that reached prior to planting. At 9 WAP, nitrogen. plant the height, the girth at 1m of pseudostem and. content of the Bra and Cyn above ground part were 1.6%. the total number of emitted leaves were measured. To. and 1.4%, what represented Bra and Cyn uptakes of 15.2 gN m-2 and 7 gN m-2, respectively. At the beginning of. estimate the yield, the total number of fruits per bunch minus the fruits located on the two last hands (removed. the second cycle at 35 WAP, cover crop biomass pro-. at flowering emergence because they are not market-. duction dropped at 0.25 kg DM m-2, and no significant. able) was measured.. differences were observed between the two species. At. Statistical analysis and interpretation. 54 WAP, the dry matter of both Bra and Cyn was close to A one way ANOVA was carried out on biomass. 0.2 kgDM m-2. At this time, both cover presented a low nutrient uptake corresponding to 2.9 gN m-2.. growth of cover crops, banana growth and development. Statistical analysis demonstrated that the cover. at each observation date on the average value of each. treatments have affected the temperature significantly. plot, considering experimental treatment and block. (Table 1), with, in comparison to the control, a reduction. effects (GLM package of Minitab software). Theses. on BraC and CynC of 0.25 and 0.11 °C respectively.. variable could be considered as independent and the differences were tested using Dunnett’s t-test at 95%. Banana development and yield components during. confident interval.. the first cycle. Temperature at cover level was analyzed ANOVA. Four weeks after planting, no significant differences. with treatments as factor, and date as random factor. were observed on the pseudostem height (Fig. 3) and. (GLM package of Minitab software), and average com-. number of emitted leaves (Table 2).. Fig. 2. Biomass of the covers before planting and mowing. Cont.: Control plot with weeds before planting, bare soil after planting, CynC: Cover with Cynodon dactylon plot, BraC: Cover with Brachiaria decumbens plot, 9WAP: 1st mowing, 16 WAP: 3nd mowing, 35 WAP: 4th mowing, 54 WAP: 6th mowing. Vertical bars represent the standard error. (n=6)..

(5) Achard et al.: Impact of an intercropped grass on banana growth and yield. 5. Table 1. Effect of cover crop on the air temperature at the cover level. Cover treatments. Average daily temperature #. Cont. CynC BraC. 27.21 A 27.10 B 26.96 C. Statistical effect of factors Treatments. HS (P<0.001). Mean values with different letters in a column are significantly different at p = 0.05. (n=3). Cont.: Control plot, CynC: Cover with Cynodon dactylon plot, BraC: Cover with Brachiaria decumbens plot. # Average of air temperature at 10 cm above ground level (°C) between the 15th and the 29th week after planting. Fig. 3. Dynamic of growth in pseudostem height of banana plant during the two cropping cycles. Continuous line: growth during vegetative stage; dotted line: growth at flowering stage, Cont.: Control plot, CynC: Cover with Cynodon dactylon plot, BraC: Cover with Brachiaria decumbens plot, C1: Growth of the first cycle, C2: Growth of the second cycle. Vertical bars represent the standard error. (n=6).. The leaf emission rate was significantly affected. higher in BraC than the control. The number of fruits. from 8 to 18 WAP on CynC and BraC in comparison to. per bunch was lower in CynC treatment in comparison to. the control (Table 2). At 18 WAP, only BraC reduced. the control significantly, when BraC produced bunches. the leaf emission rate, and at 24 WAP, the leaf emis-. with a number of fruits not different from the two other. sion rates were not affected by the grass covers. At 24. treatments significantly.. WAP, a significance of BraC and CynC on the emitted leaves was observed. From 8 to 24 WAP, Pseudostem. Banana growth and yield component during the. girth was lower on CynC and BraC in comparison to the. second cycle. control significantly, without any significant differences between the two treatments (Table 2). SPAD index was lower in both grass covers in. At 41 WAP, the control demonstrated the highest pseudostem girth and number of leaves emitted, CynC showed the lower number of emitted leaves, and BraC. comparison to the control between 8 and 18 WAP and. showed intermediate responses (Table 2). From 47 to. also at 24 WAP for BraC. The reductions of leaf emission. 56 WAP, both grass cover showed a lower total emitted. rate on BraC and CynC under one leaf per week at 8 and. leaves than the control, without any significant differ-. 13 WAP were concomitant with SPAD values under 51,. ence between these two treatments. These reductions. when at the same time leaf emission rate on the control. of the number of emitted leaves were amplified by a. reached 1.2 and the SPAD values remained about 55.. significant reduction of the leaf emission rate at 47 WAP. The flowering of the banana crop on CynC and. on both grass cover treatments. The length of the 2nd. BraC occurred 7 weeks later than on the control (Table. leaf was exhibited significantly lower values on BraC. 3). The total emitted leaves at flowering was significantly. and CynC than on the control, except at 56 WAP, where.

(6) 6. Trop. Agr. Develop. 62(1)2018. Table 2. Banana growth and development during vegetative growth during the two cycles. Basal girth of the pseudostem (cm). Number of emitted Leaves per plant. Leaf emission rate (leaves.week-1). Cont. CynC BraC. N.A.. 3.43 3.40 3.46. N.A.. 26 25 25. N.A.. 8. Cont. CynC BraC. 22 A 19 B 19 B. 9.9 A 9.1 B 8.9 B. 1.11 A 0.98 B 0.94 B. 78 70 69. 54.0 A 47.4 B 46.9 B. 13. Cont. CynC BraC. 34 A 26 B 30 B. 16.5 A 14.8 B 15.2 B. 1.17 A 0.95 B 0.92 B. 112 A 87 B 85 B. 57.1 A 48.2 B 50.7 B. 18. Cont. CynC BraC. 50 A 37 B 31 B. 21.8 A 19.4 B 18.9 B. 1.32 A 1.13 AB 1.09 B. 170 A 132 B 123 B. 57.3 A 51.3 B 51.2 B. 24. Cont. CynC BraC. 68 A 56 B 53 B. 27.9 A 25.7 B 25.1 B. 0.98 1.00 0.98. 218 A 193 AB 180 B. 51.9 A 48.1 B 49.0 AB. 41. Cont. CynC BraC. 50 A 38 C 44 B. 10.3 A 6.3 C 8.2 B. N.A.. 144 A 94 B 116 B. 50.2 A 41.2 B 44.1 B. 47. Cont. CynC BraC. 66 A 49 B 53 B. 15.7 A 10.0 B 12.0 B. 0.94 A 0.64 B 0.66 B. 203 A 131 B 147 B. 53.9 A 46.0 B 45.5 B. 52. Cont. CynC BraC. 76 A 59 B 62 B. 19.6 A 13.4 B 15.2 B. 0.78 0.72 0.74. 221 A 177 B 176 B. 55.1 53.3 51.0. 56. Cont. CynC BraC. 80 A 67 B 68 B. 22.4 A 16.4 B 18.0 B. 0.71 0.76 0.70. 232 207 203. 57.7 55.9 54.4. Crop cycle. Weeks after planting. Cover treatments. First cycle. 4. Second cycle. Length of 2nd leaf # (cm). SPAD of 2nd leaf#. N.A.: Not available. Mean values with different letters in a column are significantly different at p = 0.05. (n=6). Cont.: Control plot, CynC: Cover with Cynodon dactylon plot, BraC: Cover with Brachiaria decumbens plot. #: 2nd leaf indicates the next to the last unfolded leaf at each measurement. SPAD: Light transmittance of chlorophyll meter.. these treatments reached the control value. SPAD was. in comparison to 35.5 weeks in the control (Table 3). A. only affected at 41 and 47 WAP on CynC and BraC,. significant reduction of SPAD has been recorded only. while at the following dates, it reached similar values to. on CynC, but no impact on banana plant growth or on. control (Table 2).. total emitted leaves has been observed at the flowering. At the flowering of the second cycle, the average. date in the second banana cycle on this grass cover. flowering dates were significantly latter in CynC and. treatment. In the same order, no significant differences. BraC than on the control, but duration between the. on the number of fruits per bunch has been observed. flowering of the first cycle and the second cycle was. among all the experimental treatments.. about 36 weeks on both grass covers treatments, and Table 3. Growth, development and yield component at flowering of banana plants for the two cycles. Cycles. Cover treatments. Planting to flowering duration (weeks). Pseudostem girth (cm). Total number of emitted leaves. Fruit number of the bunch. First cycle. Cont. CynC BraC. 26.3 B 33.0 A 33.3 A. 57.7 57.9 62.0. 30.3 B 32.6 AB 33.8 A. 169 A 157 B 164 AB. 54.2 55.4 56.9. Second cycle. Cont. CynC BraC. 61.8 B 69.2 A 69.7 A. 69.5 68.7 71.5. 26.6 26.9 28.1. 215 214 221. 59.1 A 55.3 B 56.0 AB. Mean values with different letters in a column are significantly different at p = 0.05. (n=6). Cont.: Control plot, CynC: Cover with Cynodon dactylon plot, BraC: Cover with Brachiaria decumbens plot. #: 2nd leaf indicates the next to the last unfolded leaf at each measurement.. SPAD of the 2nd leaf #.

(7) Achard et al.: Impact of an intercropped grass on banana growth and yield. Discussion Biomass production of the grass cover crops At planting stage of the banana plants, it was 9. 7. with a legume cover crop in similar climate (Damour et al. 2012). Nevertheless, less than 1% of temperature reduction cannot explain the 10% reduction of the leaf emission rate observed between 8 and 18 WAP. The. weeks after sowing, the biomass of Cyn was similar. reduction of the leaf emission rate could also be linked. than the biomass of weeds on the control (Fig. 2), and. to water or nutrient stress (Robinson and Galan Sauco,. Cynodon dactylon was very dominant in the cover. At this. 2010). In this experiment, water supply by irrigation, P. stage, Cyn could be consider as to substitute weed by a. and K dressings were managed so that avoiding any of. cover crop with the same biomass production but having. these nutrition stress of the banana crop. Conversely,. more suitable characteristics. At this date, biomass of. SPAD of the 2nd leaf was continuously lower between 8. Bra was very close to their potential growth in the same. and 24 WAP in the cover crop treatments, compared to. site (Tixier et al., 2011) and confirmed higher growth. the control (Table 2). The effect of nitrogen shortage on. potentiality than Cyn (Lesueur Jannoyer et al., 2011). At. the increase in the duration of planting and flowering has. 16 WAP, Bra maintained a higher dry matter production. already been shown. Robinson and Galan Sauco (2010). than Cyn but both cover crops produced significant. have reported that a continuous nitrogen deficiency. amount of biomass, which represents an important ni-. induced not only a reduction of plant growth but also. trogen uptake. Bra did not produce more biomass than. increased the duration between planting to flowering. In. Cyn at 35 WAP, what could be probably explained by the. other context, nitrogen deficiency has reduced the ba-. shading of the banana plants at this stage of the banana. nana girth growth during the vegetative stage, without. cycle. This outlines the better shade tolerance of Cyn.. effect to the final girth of the banana plants at flowering. At flowering stage of the first crop cycle, banana Leaf. stage, but inducing a delay on the flowering date (Dorel. Area Index (LAI) reached ca. 3.3 (Stover and Simmonds,. et al., 2008). These authors have also demonstrated that. 1987). In high shaded context, the enhanced depressive. a nitrogen stress could reduce the SPAD of the second. effect of mowing on Bracharia decumbens has been. leaf. Therefore, compared to the control, the lower SPAD. demonstrated in greenhouse conditions (Baruch and. and growth as well as the slower development of the. Guenni, 2007). Similarly a negative correlation between. banana plants of CynC and BraC could be interpreted. the LAI of the banana plant and the biomass of the weeds. as a response to nitrogen deficiency resulting from a. has been observed in established banana and coconut. nitrogen competition with the cover crops.. plantations (Cierjacks et al., 2016). These findings high-. However, despite the different biomass dynamics. light the shading as the main driving factor of growth of. of Bra and Cyn, their impacts on banana growth were. a living cover in established banana plantations.. similar. In regard to the humid tropical climatic conditions, decomposition of the litter is rapid. Thomas and. Banana response to living covers during the first. Asakawa, 1993, reported around 100 days of half-life for. cycle. Brachiaria decumbens. Therefore after mowing of the. The lower growth of the pseudostem girth and. BraC, an important part of the initial nutrient uptake. emitted leaves number of banana on CynC and BraC in. could have been returned to the soil through the de-. comparison to the control (Table 2) observed from 8 to. composition of its own litter. Furthermore, the growth. 24 WAP showed early and persistent depressive impacts. of Bracharia was limited by the shade of the banana. on the growth and the development of the banana crop. plants. This reduced the competition for nitrogen with. during the first cycle. This depressing effect resulted in. the crops. Despite lower growth ability, the better shade. a difference in two emitted leaves at 24 WAP. As banana. tolerance of Cyn (in comparison to Bra) have sustained. leaf emission rate is driven by temperature (Turner,. the nutrient demand, which could have induced a similar. 1995), the 0.25 and 0.11°C temperature reduction for. nitrogen demand than Bra. Finally, we assume a similar. BraC and CynC respectively, may explain partially this. level of competition with the banana crop for nitrogen. effect. The cooling effect of living cover crop could be. between BraC and CynC.. explained as resulting of the additional transpiration of. In this study, three more emitted leaves at flowering. the leaf surface on CynC and BraC, inducing a global. were observed on BraC (Table 3). When on banana crop. increase of soil-cover crop evapotranspiration in com-. the leaf area explains the number of finger per bunch. parison to the bare soil. 1% reduction of air temperature. (Stover and Simmonds, 1987), the three additional emit-. has been already reported on intercropped banana crop. ted on BraC to reach the flowering stage could enable.

(8) 8. Trop. Agr. Develop. 62(1)2018. the plant to achieve the same leaf area as the control, and then obtain the same number of fingers per bunch. Conversely, CynC which has not significantly increase the number of emitted leaves at flowering, produced bunches with a lower number of fingers. On CynC, the 6 weeks delay at flowering combined with a 7% of the reduction of the number of fingers per bunch represented a reduction on 25% of the number of fruits produced per week i.e. on the crop productivity. If BraC and the control exhibited a similar number of fingers per bunch for the first cycle, the longer duration to reach the flowering on Bra represented a 20% reduction of crop productivity. Banana response to living covers during the second cycle The different pseudostem girth on BraC and CynC at 41 weeks, in comparison to the control (Table 2) may result from the delay of the beginning of banana development for these treatments inherited from their late flowering at the first cycle. During the second crop cycle, BraC and CynC negatively affected SPAD and leaf emission rate only at 41 and 47 weeks. This depressing effect ended earlier than during the first cycle. The lower nitrogen competition during the second cycle could be explained by (1) a lower nitrogen demand resulting of lower biomass production of both cover crops because of the shading by banana canopy, (2) a banana crop demand covered by the nitrogen supply provided by the decomposition of the crop residues of the previous cycle (Raphael et al., 2012). If the lower impact of cover crop during the second cycle could be partially attributed to the nitrogen turn over, this suggests that favor nutrient supply from cover litter decomposition with an earlier mowing before planting could probably fulfill the cover demand. References Aguilar, V., C. Staver, and P. Milberg 2003. Weed vegetation response to chemical and manual selective ground cover management in a shaded coffee plantation, Weed Research 43: 68-75. Baruch, Z. and O. Guenni 2007. Irradiance and defoliation effects in three species of the forage grass Brachiaria. Tropical Grasslands 41: 269-276. Carof, M., S. de Tourdonnet, P. Saulas, D. Le Floch, and J. RogerEstrade 2007. Undersowing wheat with different living mulches in a no-till system. II. Competition for light and nitrogen. Agron. Sustain. Dev. 27: 357-365. Celette, F., A. Findeling, and C. Gary 2009. Competition for nitrogen in an unfertilized intercropping system: The case of an association of grapevine and grass cover in a Mediterranean climate. Eur. J. Agron. 30: 41-51. Cierjacks, A., M. Pommeranz, K. Schulz, and J. Almeida-Cortez, 2016. Is crop yield related to weed species diversity and biomass in coconut and banana fields of northeastern Brazil. Agric. Ecosyst. Environ. 220: 175-183. Damour, G., H. Ozier-Lafontaine, and M. Dorel 2012. Simulation. of the growth of banana (Musa spp.) cultivated on cover-crop with simplified indicators of soil water and nitrogen availability and integrated plant traits. Field Crops Res. 130: 99-108. Dorel, M., R. Achard, and P. Tixier 2008. SIMBA-N: Modeling nitrogen dynamics in banana populations in wet tropical climate. Application to fertilization management in the Caribbean. Eur. J. Agron. 29: 38-45. den Hollander, N. G., L. Bastiaans, and M. J. Kropff 2007. Clover crop for weed suppression in an intercropping design I. Characteristics of several clover species. Eur. J. Agron. 26: 92-103. Fongod, A. G. N., D. A. Focho, A. M. Mih, B. A. Fonge, and P. Sama Lang 2010. Weed management in banana production: The use of Nelsonia canescens (Lam.) Spreng as a non-leguminous cover crop. Afri. Journ. Environ. Sc. Technol. 4: 167-173. Isaac, W. A. P., R. A. I. Brathwaite, J. E. Cohen, and I. Bekele 2007. Effects of alternative weed management strategies on Commelina diffusa Burm. infestations in Fairtrade banana (Musa spp.) in St. Vincent and the Grenadines. Crop Protection 26: 1219-1225. Lahav, E. 1995. Banana nutrition. In : Bananas. (Gowen S. ed.), Chapman et Hall (London). pp.258-316. Le Bellec, F., A. Rajaud, H. Ozier-Lafontaine, C. Bockstaller, and E. Malezieux 2012. Evidence for farmers’ active involvement in co-designing citrus cropping systems using an improved participatory method. Agron. Sustain. Dev. 32: 703-714. Lesueur Jannoyer, M., F. Le Bellec, C. Lavigne, R. Achard, and E. Malézieux 2011. Choosing cover crops to enhance ecological services in orchards: a multiple criteria and systemic approach applied to tropical areas. Proc. Env. Sci. 9: 104-112. Meteo France 2016. Climat Martinique. [Online] http://www.meteofrance.com/climat/outremer/martinique/972/normales (browsed on June 27, 2016). Raphael, L., J. Sierra, S. Recous, H. Ozier-Lafontaine, and L. Desfontaines 2012. Soil turnover of crop residues from the banana (Musa AAA cv. Petite-Naine) mother plant and simultaneous uptake by the daughter plant of released nitrogen. Eur. J. Agron. 38: 117-123. Risede, J. M., T. Lescot, J. Cabrera Cabrera, M. Guillon, K. Tomekpé, G. H. J. Kema, and F. Côte 2010. Challenging short and mid-term strategies to reduce pesticides in bananas: Endure Case Study Guide N°5, pp. 8. [Online] http:// www.endure-network.eu/endure_publications/endure_ publications2 (browsed on March 15, 2016). Robinson, J. C. and V. Galan Sauco 2010. Nutritional requirements. In: Bananas and Plantains (Robinson, J. C., Galan Sauco, V., ed.), CABI (Wallingford). pp.161-176. Stover, R. H. and Simmonds, N. W., 1987. In: Bananas: Third edition, Longman scientific (London), p. 469. Saggar, S., M. J. Hedley, K. W. Perrott, R. E. White, P. E. H. Gregg, I. S. Cornforth, and A. G. Sinclair 1999. Development and evaluation of an improved soil test for phosphorus, 3: field comparison of Olsen, Colwell and Resin soil P tests for New Zealand pasture soils. Agric. Ecosyst. Environ. 55: 35-50. Thomas, R. J. and N. M. Asakawa 1993. Decomposition of leaf litter from tropical forage grasses and legumes. Soil Biol. Biochem. 25: 1351-1361. Tixier, P., C. Lavigne, S. Alvarez, A. Gauquier, M. Blanchard, A. Ripoche, and R. Achard 2011. Model evaluation of cover crops, application to eleven species for banana cropping systems. Eur. J. Agron. 34: 53-61. Turner, D. W. 1995. The response of the plant to the environment. In : Bananas. (Gowen S. ed.), Chapman et Hall (London) pp. 258-316. Van Reeuwijk, L. P. 2002. Procedures for Soil Analysis. International Soil Reference and Information Centre (ISRIC), Technical paper, no. 9, ISRIC, p. 119. Wong, C. C. 1990. Shade tolerance of tropical forages: a review. In : ACIAR Proceedings N°32: Forages for plantation crops, (Shelton, H. M.; Stür, W. W. ed.) Proceedings of a workshop, Sanur Beach, Bali Indonesia June 27-29, 1990. pp. 64-69..

(9)

Références

Documents relatifs

These results show that if the use of cover crops (grasses or legumes) under banana field can modify the structure of nematode community, these cover crops did not change the

Then, we used a simulation model to contextualize the growth of cover crops and to assess their capacity to control weeds, to compete the cultivated plant, and to sustain on the

Model based evaluation of cover crops for banana

We studied the effect of adding a cover crop, Brachiaria decumbens, on food web structure in a banana agroecosystem by analysing stable isotopic variation in C and N for

Large Inter-row Low Medium Cover residue Grass &gt; Banana 48% Stem base High High/Stem flow Fertilizer Banana+Grass 23% Zone of homogenous functioning Shade Water flows

The influence of water deficit on N nutrition status is at play at the level of the soil (through the availability of mineral N for root uptake) as well as at plant level.. However,

While a number of models exist to estimate nitrogen (N) losses from agricultural fields, they mostly pertain to temperate climate conditions and annual crops.. The lack of

In this paper, we used a DNA metabarcoding approach for the molecular analysis of the gut contents of predators (based on mini-COI) to identify 1) the DNA sequences of their prey,