草业学报2018，Vol.27Issue(5)：85-96,12.DOI:10.11686/cyxb2017241
基于隶属函数法和GGE双标图的饲草型小黑麦种质适应性评价
Evaluation of the adaptability of triticale genotypes using membership function and GGE-Biplot analysis
摘要
Abstract
In order to screen triticale genotypes and areas potentially suitable for cultivating triticale,hay yield,nutritional value (crude protein,neutral detergent fiber,and acid detergent fiber content),and dry matter digestibility of 4 triticale genotypes (new lines P2 and P4;cultivars Shida No.1 and Zhongsi 1048) at the flowering stage were assessed at six sites (Lintao,Maqu,Xiahe,Hezuo,county of Mati and Kangle in Sunan) in Gansu province from 2014 to 2015.Only Lintao had irrigation,all other sites depended on rainfall.Data were analyzed using ANOVA,membership function and GGE (within genotypes and the interaction between the genotype and environment) biplots.Genotype P2 had the highest hay yield (12.94 t · ha-1) and nutritional value (0.67) and performed well in Lintao and Maqu;P4 obtained higher hay yield (10.90 t · ha-1) and nutritional value (0.5) than that of the controls,Shida No.1 and Zhongsi 1048.Both Shida No.1 and Zhongsi 1048 displayed low productivity or nutritional values at all sites.Highest yields were obtained at Lintao (14.13 t ·ha-1) and the highest nutrition value (0.51) at Maqu;Maqu also had high hay yield (14.07 t · ha-1) and nutritional evaluation value (0.50).Yields were generally poor at other sites.This study demonstrated a simple and effective method for evaluating hay yield,nutritional quality and suitable area's for triticale production and offers a theoretical basis for identification of superior genotypes and extension of triticale production.关键词
小黑麦种质/产量的稳定性/适应性/隶属函数法/基因型和基因与环境互作效应双标图法Key words
Triticale genotype/stability of hay yield/adaptability/method of membership function/genotype main effects plus genotype× environment interaction biplot analysis引用本文复制引用
刘晶,宋谦,田新会,杜文华,刘汉成..基于隶属函数法和GGE双标图的饲草型小黑麦种质适应性评价[J].草业学报,2018,27(5):85-96,12.基金项目
甘肃省草地畜牧业可持续发展创新团队项目(2017C-11),国家自然科学基金(31760702,31360577)和现代农业产业技术体系建设专项资金(CARS-40-09B)资助. （2017C-11）
