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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doaj-3e8acca13cb54269945b2d793a937a052021-06-07T06:51:22ZengElsevierJournal of Integrative Agriculture2095-31192016-06-0115612181227GGE biplot analysis of yield stability and test location representativeness in proso millet (Panicum miliaceum L.) genotypesPan-pan ZHANG0Hui SONG1Xi-wang KE2Xi-jun JIN3Li-hua YIN4Yang LIU5Yang QU6Wang SU7Nai-jie FENG8Dian-feng ZHENG9Bai-li FENG10National Coarse Cereals Engineering Research Center, Heilongjiang August First Agricultural University, Daqing 163319, P.R.China; State Key Laboratory of Crop Stress Biology in Arid Areas, Ministry of Science and Technology/Northwest A&F University, Yangling 712100, P.R.ChinaAnyang Academy of Agriculture Sciences, Anyang 455000, P.R.ChinaNational Coarse Cereals Engineering Research Center, Heilongjiang August First Agricultural University, Daqing 163319, P.R.ChinaNational Coarse Cereals Engineering Research Center, Heilongjiang August First Agricultural University, Daqing 163319, P.R.ChinaNational Coarse Cereals Engineering Research Center, Heilongjiang August First Agricultural University, Daqing 163319, P.R.ChinaNational Coarse Cereals Engineering Research Center, Heilongjiang August First Agricultural University, Daqing 163319, P.R.ChinaBaoji Institute of Agricultural Science, Qishan 722400, P.R.ChinaState Key Laboratory of Crop Stress Biology in Arid Areas, Ministry of Science and Technology/Northwest A&F University, Yangling 712100, P.R.ChinaNational Coarse Cereals Engineering Research Center, Heilongjiang August First Agricultural University, Daqing 163319, P.R.ChinaNational Coarse Cereals Engineering Research Center, Heilongjiang August First Agricultural University, Daqing 163319, P.R.China; ZHENG Dian-feng, Tel: +86-459-8979675State Key Laboratory of Crop Stress Biology in Arid Areas, Ministry of Science and Technology/Northwest A&F University, Yangling 712100, P.R.China; Correspondence FENG Bai-li, Tel: +86-29-87082889The 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 variance (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 (G×E) (P<0.1%). G×E interaction 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 (E10) 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, E10 and e14 have enhanced efficiency and accuracy for non-waxy genotypes and waxy genotypes selection, respectively in national regional test of proso millet varieties.http://www.sciencedirect.com/science/article/pii/S2095311915611571proso milletGGE biplotyield stabilitytest location representativeness |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Pan-pan ZHANG Hui SONG Xi-wang KE Xi-jun JIN Li-hua YIN Yang LIU Yang QU Wang SU Nai-jie FENG Dian-feng ZHENG Bai-li FENG |
spellingShingle |
Pan-pan ZHANG Hui SONG Xi-wang KE Xi-jun JIN Li-hua YIN Yang LIU Yang QU Wang SU Nai-jie FENG Dian-feng ZHENG Bai-li FENG GGE biplot analysis of yield stability and test location representativeness in proso millet (Panicum miliaceum L.) genotypes Journal of Integrative Agriculture proso millet GGE biplot yield stability test location representativeness |
author_facet |
Pan-pan ZHANG Hui SONG Xi-wang KE Xi-jun JIN Li-hua YIN Yang LIU Yang QU Wang SU Nai-jie FENG Dian-feng ZHENG Bai-li FENG |
author_sort |
Pan-pan ZHANG |
title |
GGE biplot analysis of yield stability and test location representativeness in proso millet (Panicum miliaceum L.) genotypes |
title_short |
GGE biplot analysis of yield stability and test location representativeness in proso millet (Panicum miliaceum L.) genotypes |
title_full |
GGE biplot analysis of yield stability and test location representativeness in proso millet (Panicum miliaceum L.) genotypes |
title_fullStr |
GGE biplot analysis of yield stability and test location representativeness in proso millet (Panicum miliaceum L.) genotypes |
title_full_unstemmed |
GGE biplot analysis of yield stability and test location representativeness in proso millet (Panicum miliaceum L.) genotypes |
title_sort |
gge biplot analysis of yield stability and test location representativeness in proso millet (panicum miliaceum l.) genotypes |
publisher |
Elsevier |
series |
Journal of Integrative Agriculture |
issn |
2095-3119 |
publishDate |
2016-06-01 |
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 variance (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 (G×E) (P<0.1%). G×E interaction 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 (E10) 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, E10 and e14 have enhanced efficiency and accuracy for non-waxy genotypes and waxy genotypes selection, respectively in national regional test of proso millet varieties. |
topic |
proso millet GGE biplot yield stability test location representativeness |
url |
http://www.sciencedirect.com/science/article/pii/S2095311915611571 |
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