{"title":"马里多环境下部分棉花(Gossypium hirsutum L.)基因型棉籽和纤维产量的稳定性分析及基因型与环境的交互作用","authors":"Sory Sissoko, Mamadou Oumar Diawara, Elhadji Mamoudou Kassambara, Mariam Traoré, Gassiré Bayoko, Daouda Seydou Maiga","doi":"10.30574/gscbps.2024.26.1.0530","DOIUrl":null,"url":null,"abstract":"Cotton is a strategically important crop for Mali. Mainly used for export, it represents 50–60 % of the value of the country's exports. Genotype by environment interaction study was carried out to identify the most stable cotton genotype(s) and the most desirable for seed cotton yield and lint yield in 35 villages across six different environments(High Valley of the Niger, New Cotton Growing Zone, North Sudan-Sahel, Old Basin, Southern Extension Zone and Zone Sikasso-Bougouni) in a dispersed block design. Where each village represented a block, giving a total of 35 blocks or replications. A combined analysis of variance showed that yields of seed cotton and fiber were significantly affected by environments (p<0.05), but did not reveal any significant difference between genotypes or genotype-environment interactions. The result of GGE biplot analysis method showed that the polygonal view identified three mega-environments (ME1, ME2 and ME3) with three winning genotypes: BRS 293, NTA B149 and NTA L66, respectively, for seed cotton yield. For fiber yield, the winning genotypes were CG1, NTA L65 and BRS 293, respectively. Given that all the varieties tested have a mean fiber yield within the recommended norms, the two promising varieties NTA B149 and NTA L66 with good seed cotton yields and the standard check BRS 293 can be recommended for extension in the environments to which they have been assigned.","PeriodicalId":12808,"journal":{"name":"GSC Biological and Pharmaceutical Sciences","volume":"5 23","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stability analysis and genotype X environment interaction of cotton seed and fiber yield of some cotton (Gossypium hirsutum L.) genotypes in multi-environment in Mali\",\"authors\":\"Sory Sissoko, Mamadou Oumar Diawara, Elhadji Mamoudou Kassambara, Mariam Traoré, Gassiré Bayoko, Daouda Seydou Maiga\",\"doi\":\"10.30574/gscbps.2024.26.1.0530\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cotton is a strategically important crop for Mali. Mainly used for export, it represents 50–60 % of the value of the country's exports. Genotype by environment interaction study was carried out to identify the most stable cotton genotype(s) and the most desirable for seed cotton yield and lint yield in 35 villages across six different environments(High Valley of the Niger, New Cotton Growing Zone, North Sudan-Sahel, Old Basin, Southern Extension Zone and Zone Sikasso-Bougouni) in a dispersed block design. Where each village represented a block, giving a total of 35 blocks or replications. A combined analysis of variance showed that yields of seed cotton and fiber were significantly affected by environments (p<0.05), but did not reveal any significant difference between genotypes or genotype-environment interactions. The result of GGE biplot analysis method showed that the polygonal view identified three mega-environments (ME1, ME2 and ME3) with three winning genotypes: BRS 293, NTA B149 and NTA L66, respectively, for seed cotton yield. For fiber yield, the winning genotypes were CG1, NTA L65 and BRS 293, respectively. Given that all the varieties tested have a mean fiber yield within the recommended norms, the two promising varieties NTA B149 and NTA L66 with good seed cotton yields and the standard check BRS 293 can be recommended for extension in the environments to which they have been assigned.\",\"PeriodicalId\":12808,\"journal\":{\"name\":\"GSC Biological and Pharmaceutical Sciences\",\"volume\":\"5 23\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"GSC Biological and Pharmaceutical Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30574/gscbps.2024.26.1.0530\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"GSC Biological and Pharmaceutical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30574/gscbps.2024.26.1.0530","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
棉花是马里具有重要战略意义的作物。棉花主要用于出口,占马里出口总值的 50-60%。为了确定最稳定的棉花基因型和最理想的籽棉产量和皮棉产量,马里在六个不同环境(尼日尔高河谷、新棉花种植区、苏丹北部-萨赫勒、老盆地、南部扩展区和锡卡索-布古尼区)的 35 个村庄开展了基因型与环境交互作用研究,并采用了分散区块设计。每个村庄代表一个区块,总共有 35 个区块或重复。综合方差分析显示,籽棉和纤维的产量受环境影响显著(p<0.05),但基因型之间或基因型与环境之间的交互作用没有发现任何显著差异。GGE 双图谱分析方法的结果表明,多边形视图确定了三个特大环境(ME1、ME2 和 ME3),有三个优胜基因型:分别是 BRS 293、NTA B149 和 NTA L66。纤维产量的优胜基因型分别是 CG1、NTA L65 和 BRS 293。鉴于所有测试品种的平均纤维产量都在推荐标准范围内,因此可以推荐籽棉产量较高的两个有前途的品种 NTA B149 和 NTA L66 以及标准对照 BRS 293 在其指定的环境中进行推广。
Stability analysis and genotype X environment interaction of cotton seed and fiber yield of some cotton (Gossypium hirsutum L.) genotypes in multi-environment in Mali
Cotton is a strategically important crop for Mali. Mainly used for export, it represents 50–60 % of the value of the country's exports. Genotype by environment interaction study was carried out to identify the most stable cotton genotype(s) and the most desirable for seed cotton yield and lint yield in 35 villages across six different environments(High Valley of the Niger, New Cotton Growing Zone, North Sudan-Sahel, Old Basin, Southern Extension Zone and Zone Sikasso-Bougouni) in a dispersed block design. Where each village represented a block, giving a total of 35 blocks or replications. A combined analysis of variance showed that yields of seed cotton and fiber were significantly affected by environments (p<0.05), but did not reveal any significant difference between genotypes or genotype-environment interactions. The result of GGE biplot analysis method showed that the polygonal view identified three mega-environments (ME1, ME2 and ME3) with three winning genotypes: BRS 293, NTA B149 and NTA L66, respectively, for seed cotton yield. For fiber yield, the winning genotypes were CG1, NTA L65 and BRS 293, respectively. Given that all the varieties tested have a mean fiber yield within the recommended norms, the two promising varieties NTA B149 and NTA L66 with good seed cotton yields and the standard check BRS 293 can be recommended for extension in the environments to which they have been assigned.