GGE biplot analysis of yield stability and test location representativeness in proso millet (Panicum miliaceum L.) genotypes
The experiments were conducted for three consecutive years across 14 locations using 9 non-waxy proso millet genotypes and 16 locations using 7 waxy proso millet genotypes in China. The objectives of this study were to analyze yield stability and adaptability of proso millets and to evaluate the dis...
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description | The experiments were conducted for three consecutive years across 14 locations using 9 non-waxy proso millet genotypes and 16 locations using 7 waxy proso millet genotypes in China. The objectives of this study were to analyze yield stability and adaptability of proso millets and to evaluate the discrimination and representativeness of locations by analysis of vari- ance (ANOVA) and genotype and genotype by environment interaction (GGE) biplot methods. Grain yields of proso millet genotypes were significantly influenced by environment (E), genotype (G) and their interaction (GxE) (P〈0.1%). GxE inter- action effect was six times higher than G effect in non-waxy group and seven times in waxy group. N04-339 in non-waxy and Neimi 6 (NM6) in waxy showed higher grain yields and stability compared with other genotypes. Also, Neimi 9 (NM9, a non-waxy cultivar) and 90322-2-33 (a waxy cultivar) showed higher adaptability in 7 and in 11 locations, respectively. For non-waxy, Dalat, Inner Mongolia (E2) and Wuzhai, Shanxi (E5) were the best sites among all the locations for maximizing the variance among candidate cultivars, and Yanchi, Ningxia (El0) had the best representativeness. Wuzhai, Shanxi (e9) and Yanchi, Ningxia (e14) were the best representative locations, and Baicheng, Jilin (e2) was better discriminating location than others for waxy genotypes. Based on our results, El0 and e14 have enhanced efficiency and accuracy for non-waxy genotypes and waxy genotypes selection, respectively in national regional test of proso millet varieties. |
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The objectives of this study were to analyze yield stability and adaptability of proso millets and to evaluate the discrimination and representativeness of locations by analysis of vari- ance (ANOVA) and genotype and genotype by environment interaction (GGE) biplot methods. Grain yields of proso millet genotypes were significantly influenced by environment (E), genotype (G) and their interaction (GxE) (P〈0.1%). GxE inter- action effect was six times higher than G effect in non-waxy group and seven times in waxy group. N04-339 in non-waxy and Neimi 6 (NM6) in waxy showed higher grain yields and stability compared with other genotypes. Also, Neimi 9 (NM9, a non-waxy cultivar) and 90322-2-33 (a waxy cultivar) showed higher adaptability in 7 and in 11 locations, respectively. For non-waxy, Dalat, Inner Mongolia (E2) and Wuzhai, Shanxi (E5) were the best sites among all the locations for maximizing the variance among candidate cultivars, and Yanchi, Ningxia (El0) had the best representativeness. Wuzhai, Shanxi (e9) and Yanchi, Ningxia (e14) were the best representative locations, and Baicheng, Jilin (e2) was better discriminating location than others for waxy genotypes. Based on our results, El0 and e14 have enhanced efficiency and accuracy for non-waxy genotypes and waxy genotypes selection, respectively in national regional test of proso millet varieties.</description><identifier>ISSN: 2095-3119</identifier><identifier>EISSN: 2352-3425</identifier><language>eng</language><subject>GGE双标图 ; 产量稳定性 ; 位置 ; 品种区域试验 ; 基因型 ; 测试 ; 相互作用 ; 糜子</subject><ispartof>农业科学学报:英文版, 2016 (6), p.1218-1227</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/86610A/86610A.jpg</thumbnail><link.rule.ids>314,776,780,4010</link.rule.ids></links><search><creatorcontrib>ZHANG Pan-pan SONG Hui KE Xi-wang JIN Xi-jun YIN Li-hua LIU Yang QU Yang SU Wang FENG Nai-jie ZHENG Dian-feng FENG Bai-li</creatorcontrib><title>GGE biplot analysis of yield stability and test location representativeness in proso millet (Panicum miliaceum L.) genotypes</title><title>农业科学学报:英文版</title><addtitle>Agricultural Sciences in China</addtitle><description>The experiments were conducted for three consecutive years across 14 locations using 9 non-waxy proso millet genotypes and 16 locations using 7 waxy proso millet genotypes in China. The objectives of this study were to analyze yield stability and adaptability of proso millets and to evaluate the discrimination and representativeness of locations by analysis of vari- ance (ANOVA) and genotype and genotype by environment interaction (GGE) biplot methods. Grain yields of proso millet genotypes were significantly influenced by environment (E), genotype (G) and their interaction (GxE) (P〈0.1%). GxE inter- action effect was six times higher than G effect in non-waxy group and seven times in waxy group. N04-339 in non-waxy and Neimi 6 (NM6) in waxy showed higher grain yields and stability compared with other genotypes. Also, Neimi 9 (NM9, a non-waxy cultivar) and 90322-2-33 (a waxy cultivar) showed higher adaptability in 7 and in 11 locations, respectively. For non-waxy, Dalat, Inner Mongolia (E2) and Wuzhai, Shanxi (E5) were the best sites among all the locations for maximizing the variance among candidate cultivars, and Yanchi, Ningxia (El0) had the best representativeness. Wuzhai, Shanxi (e9) and Yanchi, Ningxia (e14) were the best representative locations, and Baicheng, Jilin (e2) was better discriminating location than others for waxy genotypes. Based on our results, El0 and e14 have enhanced efficiency and accuracy for non-waxy genotypes and waxy genotypes selection, respectively in national regional test of proso millet varieties.</description><subject>GGE双标图</subject><subject>产量稳定性</subject><subject>位置</subject><subject>品种区域试验</subject><subject>基因型</subject><subject>测试</subject><subject>相互作用</subject><subject>糜子</subject><issn>2095-3119</issn><issn>2352-3425</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqNijFOAzEQRS1EJCLIHUb0i-xdvLA1CqGgoKCPnM1kM8hrG8-A5I4S7pQ75QosEgdI9d9__5-ped3Yumpua3s-se5s1RjTXagF85vW2lirdXs_V1-r1RI2lHwUcMH5wsQQd1AI_RZY3IY8SZm2LQiygI-9E4oBMqaMjEGm-okBmYECpBw5wkjeo8Dx8P3iAvUf458h1-NEzzfHww8MGKKUhHylZjvnGRf_eamuH5evD09Vv49heKcwrFOm0eWybtuu1nfGmuak0y-ZylSu</recordid><startdate>2016</startdate><enddate>2016</enddate><creator>ZHANG Pan-pan SONG Hui KE Xi-wang JIN Xi-jun YIN Li-hua LIU Yang QU Yang SU Wang FENG Nai-jie ZHENG Dian-feng FENG Bai-li</creator><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W95</scope><scope>~WA</scope></search><sort><creationdate>2016</creationdate><title>GGE biplot analysis of yield stability and test location representativeness in proso millet (Panicum miliaceum L.) genotypes</title><author>ZHANG Pan-pan SONG Hui KE Xi-wang JIN Xi-jun YIN Li-hua LIU Yang QU Yang SU Wang FENG Nai-jie ZHENG Dian-feng FENG Bai-li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-chongqing_primary_6692071513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>GGE双标图</topic><topic>产量稳定性</topic><topic>位置</topic><topic>品种区域试验</topic><topic>基因型</topic><topic>测试</topic><topic>相互作用</topic><topic>糜子</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>ZHANG Pan-pan SONG Hui KE Xi-wang JIN Xi-jun YIN Li-hua LIU Yang QU Yang SU Wang FENG Nai-jie ZHENG Dian-feng FENG Bai-li</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-农业科学</collection><collection>中文科技期刊数据库- 镜像站点</collection><jtitle>农业科学学报:英文版</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>ZHANG Pan-pan SONG Hui KE Xi-wang JIN Xi-jun YIN Li-hua LIU Yang QU Yang SU Wang FENG Nai-jie ZHENG Dian-feng FENG Bai-li</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>GGE biplot analysis of yield stability and test location representativeness in proso millet (Panicum miliaceum L.) genotypes</atitle><jtitle>农业科学学报:英文版</jtitle><addtitle>Agricultural Sciences in China</addtitle><date>2016</date><risdate>2016</risdate><issue>6</issue><spage>1218</spage><epage>1227</epage><pages>1218-1227</pages><issn>2095-3119</issn><eissn>2352-3425</eissn><abstract>The experiments were conducted for three consecutive years across 14 locations using 9 non-waxy proso millet genotypes and 16 locations using 7 waxy proso millet genotypes in China. The objectives of this study were to analyze yield stability and adaptability of proso millets and to evaluate the discrimination and representativeness of locations by analysis of vari- ance (ANOVA) and genotype and genotype by environment interaction (GGE) biplot methods. Grain yields of proso millet genotypes were significantly influenced by environment (E), genotype (G) and their interaction (GxE) (P〈0.1%). GxE inter- action effect was six times higher than G effect in non-waxy group and seven times in waxy group. N04-339 in non-waxy and Neimi 6 (NM6) in waxy showed higher grain yields and stability compared with other genotypes. Also, Neimi 9 (NM9, a non-waxy cultivar) and 90322-2-33 (a waxy cultivar) showed higher adaptability in 7 and in 11 locations, respectively. For non-waxy, Dalat, Inner Mongolia (E2) and Wuzhai, Shanxi (E5) were the best sites among all the locations for maximizing the variance among candidate cultivars, and Yanchi, Ningxia (El0) had the best representativeness. Wuzhai, Shanxi (e9) and Yanchi, Ningxia (e14) were the best representative locations, and Baicheng, Jilin (e2) was better discriminating location than others for waxy genotypes. Based on our results, El0 and e14 have enhanced efficiency and accuracy for non-waxy genotypes and waxy genotypes selection, respectively in national regional test of proso millet varieties.</abstract></addata></record> |
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source | Elsevier ScienceDirect Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | GGE双标图 产量稳定性 位置 品种区域试验 基因型 测试 相互作用 糜子 |
title | GGE biplot analysis of yield stability and test location representativeness in proso millet (Panicum miliaceum L.) genotypes |
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