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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Main Authors: 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
Format: Article
Language:English
Published: Elsevier 2016-06-01
Series:Journal of Integrative Agriculture
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2095311915611571
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spelling 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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