The year of 2013 is a typical rainy and poor sunshine year, and the monthly sunshine hours from May to October were all lower than the average, which from July to September was only 69.3%,71.1% and 56.2% of average, r...The year of 2013 is a typical rainy and poor sunshine year, and the monthly sunshine hours from May to October were all lower than the average, which from July to September was only 69.3%,71.1% and 56.2% of average, respectively. In cotton-wheat system 10 cotton varieties （lines） were planted to select the most suitable varieties for cotton-wheat system in rainy and poor sunshine years through investigating cotton growing traits in 2013. The results showed that in cotton-wheat system the vegetative growth of cotton was mainly from late June to middle July especially in rainy and poor sunshine years. And with the increase of the cotton growth period the peak of vegetative growth delayed, the ratio of the autumn bolls increased, and the ratio of pre-frost yield decreased. In all the varieties unginned cottonyield of Zhongmiansuo 50 with shorter growth period, higher rate of summer bolls and better fiber quality, seed yield reached 3 814.1 kg/hm2, higher than that of other varieties （lines） significantly, and the rate of pre-frost yield reached 83.4%, which was the most suitable variety for cotton-wheat system in rainy and poor sunshine years.展开更多
This study was to evaluate the high yielding and stability of candidate cultivars, depict the adaptive planting region, analyze trial location discrim-ination ability and representativeness, as wel as identify the ide...This study was to evaluate the high yielding and stability of candidate cultivars, depict the adaptive planting region, analyze trial location discrim-ination ability and representativeness, as wel as identify the ideal cultivar and trial location, with the aim to provide theory background for cultivar selection and rea-sonable scheme of test location in Jiangsu Province. [Method] The GGE biplot method was used to analyze the lint cotton yield of 12 experimental genotypes in the 6 test locations （three replicates in each） of the cotton regional trial in Jiangsu Province in 2013. [Result] The effects of genotype （G）, environment （E）, and geno-type by environment interaction （G＆#215;E） on lint cotton yield were al highly significant （P〈0.01）, which made it necessary to further explore the specific pattern of geno-type by environment interaction. Jinmian118 （G4） and SF3303 （G5） were the best ideal genotypes screened by the ＂ideal cultivar＂ and ＂ideal location＂ view of GGE biplot, and the ordination of test sites based on the ideal index were in the order of Dafeng （DF）, Yanliang （YL）, Liuhe （LH）, Dongtai （DT）, Yancheng （YC）, and Nantong （NT）, among which NT was relatively weak in representing of the whole target cot-ton planting region in Jiangsu Province. The ＂similarity among locations＂ view of GGE biplot clustered al trial locations into one group, showing that the test sites in the cotton planting region in Jiangsu Province were in the same mega-environment. The ＂which-won-where＂ view of GGE biplot indicated that cotton cultivar Jinmian118 （G4） was the most appropriate cultivar in the homogeneous cotton planting region in Jiangsu Province. [Conclusion] Among the candidate cultivars, Jinmian118 and SF3303 were identified as the most ideal cultivars in this set of conventional cotton regional trial in Jiangsu Province; the test site of Dafeng ranked the first out of al locations in terms of discrimination and representativeness, and al test locations were clustered into the same mega-environmet, which indicated the high efficiency of cultivar selection in the cotton regional trial in Jiangsu Province.展开更多
基金Supported by Project Supported by National Science and Technology Ministry(2013BAD05B00)National Cotton Industry System(CARS-18-21)~~
文摘The year of 2013 is a typical rainy and poor sunshine year, and the monthly sunshine hours from May to October were all lower than the average, which from July to September was only 69.3%,71.1% and 56.2% of average, respectively. In cotton-wheat system 10 cotton varieties （lines） were planted to select the most suitable varieties for cotton-wheat system in rainy and poor sunshine years through investigating cotton growing traits in 2013. The results showed that in cotton-wheat system the vegetative growth of cotton was mainly from late June to middle July especially in rainy and poor sunshine years. And with the increase of the cotton growth period the peak of vegetative growth delayed, the ratio of the autumn bolls increased, and the ratio of pre-frost yield decreased. In all the varieties unginned cottonyield of Zhongmiansuo 50 with shorter growth period, higher rate of summer bolls and better fiber quality, seed yield reached 3 814.1 kg/hm2, higher than that of other varieties （lines） significantly, and the rate of pre-frost yield reached 83.4%, which was the most suitable variety for cotton-wheat system in rainy and poor sunshine years.
基金Supported by the Fund for Independent Innovation of Agricultural Sciences in Jiangsu Province(CX-12-5035)
文摘This study was to evaluate the high yielding and stability of candidate cultivars, depict the adaptive planting region, analyze trial location discrim-ination ability and representativeness, as wel as identify the ideal cultivar and trial location, with the aim to provide theory background for cultivar selection and rea-sonable scheme of test location in Jiangsu Province. [Method] The GGE biplot method was used to analyze the lint cotton yield of 12 experimental genotypes in the 6 test locations （three replicates in each） of the cotton regional trial in Jiangsu Province in 2013. [Result] The effects of genotype （G）, environment （E）, and geno-type by environment interaction （G＆#215;E） on lint cotton yield were al highly significant （P〈0.01）, which made it necessary to further explore the specific pattern of geno-type by environment interaction. Jinmian118 （G4） and SF3303 （G5） were the best ideal genotypes screened by the ＂ideal cultivar＂ and ＂ideal location＂ view of GGE biplot, and the ordination of test sites based on the ideal index were in the order of Dafeng （DF）, Yanliang （YL）, Liuhe （LH）, Dongtai （DT）, Yancheng （YC）, and Nantong （NT）, among which NT was relatively weak in representing of the whole target cot-ton planting region in Jiangsu Province. The ＂similarity among locations＂ view of GGE biplot clustered al trial locations into one group, showing that the test sites in the cotton planting region in Jiangsu Province were in the same mega-environment. The ＂which-won-where＂ view of GGE biplot indicated that cotton cultivar Jinmian118 （G4） was the most appropriate cultivar in the homogeneous cotton planting region in Jiangsu Province. [Conclusion] Among the candidate cultivars, Jinmian118 and SF3303 were identified as the most ideal cultivars in this set of conventional cotton regional trial in Jiangsu Province; the test site of Dafeng ranked the first out of al locations in terms of discrimination and representativeness, and al test locations were clustered into the same mega-environmet, which indicated the high efficiency of cultivar selection in the cotton regional trial in Jiangsu Province.
