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Optimal choice of cotton cultivar for rainfed conditions in Sahelo-Sudanian climate with late planting: a case study in Senegal

Traore Abdou, Gozé Eric, Gérardeaux Edward, Diouf Latyr, Ndour Abdoulaye, Ndiaye Saliou, Oumarou Palai, Loison Romain. 2023. Optimal choice of cotton cultivar for rainfed conditions in Sahelo-Sudanian climate with late planting: a case study in Senegal. Journal of Agricultural Science, 161 (4) : 469-476.

Article de revue ; Article de recherche ; Article de revue à facteur d'impact
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Résumé : Late planting due to erratic onset of the rainy season is becoming more frequent in the Sahelo-Sudanian climate where cotton is grown, causing seed cotton yield (SCY) loss and higher risk of drought at the end of the crop cycle. Therefore, cultivars should be adapted to late (from July 10) planting date (PD) in Senegal. The aim of this study was to analyse the interaction between genotypes and PD on SCY in Senegal under rainfed conditions. Field experiments were conducted in 2018 and 2019 using a split-plot design (two PDs, eight cultivars) at three experimental stations. Robust analysis of SCY was used to moderate the effect of potential outliers. The average SCY was 1404 kg/ha under early planting, and 714 kg/ha under late planting. The best SCY was obtained under early planting conditions, in environments with good rainfall. The loss due to late planting was significantly affected by cultivar choice. None of the cultivars performed best under both early and late PD. Under early PD, cultivar CS 50 gave the best SCY, while under late PD it was cultivar IRMA Q302. The best performing cultivar on average depended on the proportion of early plantings. A model was developed to identify the best overall cultivar based on the expected proportion of early planting, as a decision support tool for the cotton development company, if only one cultivar is released. The benefit of releasing a second cultivar for late-planted fields is considered.

Mots-clés Agrovoc : variété, Gossypium, Gossypium hirsutum, rendement des cultures, fertilisation, génotype, système d'aide à la décision, méthode statistique, anatomie végétale

Mots-clés géographiques Agrovoc : Sénégal

Mots-clés libres : Cotton, Planting date, Robust regression methods, Senegal, Cultivar, R statistical computing language

Classification Agris : F01 - Culture des plantes

Champ stratégique Cirad : CTS 2 (2019-) - Transitions agroécologiques

Auteurs et affiliations

  • Traore Abdou, CIRAD-PERSYST-UPR AIDA (FRA)
  • Gozé Eric, CIRAD-PERSYST-UPR AIDA (FRA) ORCID: 0000-0001-9121-7835
  • Gérardeaux Edward, CIRAD-PERSYST-UPR AIDA (FRA) ORCID: 0000-0003-1487-4887
  • Diouf Latyr, ISRA (SEN)
  • Ndour Abdoulaye, SODEFITEX (SEN)
  • Ndiaye Saliou, ENSA (SEN)
  • Oumarou Palai, SODECOTON (CMR)
  • Loison Romain, CIRAD-PERSYST-UPR AIDA (BEN) ORCID: 0000-0001-6562-658X - auteur correspondant

Source : Cirad-Agritrop (https://agritrop.cirad.fr/606001/)

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