GGE-BIPLOT ANALYSIS FOR GENOTYPE ENVIRONMENT INTERACTIONS IN SOME QUALITY TRAITS OF SILAGE MAIZE GENOTYPES

IF 0.6 4区 生物学 Q3 AGRICULTURE, MULTIDISCIPLINARY Journal of Animal and Plant Sciences Pub Date : 2020-01-01 DOI:10.36899/japs.2020.2.0035
Seme, Kukuruza, Seme Kukuruza
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Abstract

Silage maize quality is crucial for yield parameter. However, there is little unknown regarding to GGE-biplot analysis for Genotype-Environment Interactions. For this purpose, experiments were conducted in 6 different environments in randomized blocks design with 3 replications. Effects of genotypes, environments and genotype x environment interactions (GEI) on dry hay yield (DHY) and 8 other quality traits of dry hay [crude protein content (CPC), crude protein yield (CPY), crude ash content (CAC), relative feed value (RFV), dry matter digestibility (DMD), dry matter intake (DMI), acid detergent fiber (ADF) and neutral detergent fiber (NDF)] of 25 silage maize genotypes were investigated. GGE-biplot analysis was used for GEI analysis of 9 traits. Biplot graph axes of the traits were able to explain the least 40.08% of the total variation in CPC and the most 69.6% of the total variation in DHY. It was observed through assessing all traits together that the genotypes of SAFAK and BURAK were placed in ideal genotype section and the genotypes of WAYNE and 30B74 were placed in the stable portion of desirable genotype section for DHY, which is the most significant quality trait in silage maize culture. Besides them, the genotypes, SEME KUKURUZA 877, SEME KUKURUZA 873, DKC 6589 and DKC 7211 were identified as stable genotypes. Furthermore, the genotype 6 was identified as a stable genotype with the best adaptation for ADF, NDF and DMD, the genotype BURAK for crude ash content, the genotype ADV 2898 for crude protein content, the genotype SAFAK for crude protein yield and the genotypes DKC 6590 and DIAN for RFV.
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青贮玉米部分品质性状基因型环境互作的ge -双图分析
青贮玉米品质是决定产量的关键参数。然而,对于基因型-环境相互作用的基因型双图分析,人们知之甚少。为此,采用随机区组设计,在6个不同环境下进行3个重复的试验。研究了基因型、环境和基因型与环境互作(GEI)对25个青贮玉米基因型干干草产量(DHY)及其他8个干干草品质性状[粗蛋白质含量(CPC)、粗蛋白质产量(CPY)、粗灰分含量(CAC)、相对饲料价值(RFV)、干物质消化率(DMD)、干物质采食量(DMI)、酸性洗涤纤维(ADF)和中性洗涤纤维(NDF)]的影响。9个性状的GEI分析采用gege双图分析。各性状的双图轴能解释CPC总变异的最小值为40.08%,DHY总变异的最大值为69.6%。综合评价各性状发现,对于青贮玉米培养中最显著的品质性状DHY, SAFAK和BURAK基因型位于理想基因型区段,WAYNE和30B74基因型位于理想基因型区段的稳定区段。其中,稳定基因型为SEME KUKURUZA 877、SEME KUKURUZA 873、DKC 6589和DKC 7211。此外,基因6型对ADF、NDF和DMD的适应性最强,BURAK型对粗灰分含量适应性最强,ADV 2898型对粗蛋白质含量适应性最强,SAFAK型对粗蛋白质产量适应性最强,DKC 6590和DIAN型对RFV适应性最强。
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来源期刊
CiteScore
1.50
自引率
0.00%
发文量
128
审稿时长
6 months
期刊介绍: The Journal of Animal and Plant Sciences (JAPS) is a bi-monthly publication and is being published regularly since 1991 by the Pakistan Agricultural Scientists Forum (PAS FORUM). It publishes original research papers, review, extension/clinical articles on all aspects of animal (including fisheries/wildlife) and plant sciences, agricultural economics, rural sociology and other related subjects. The journal is read, abstracted and indexed by the abstracting/indexing agencies of international repute.
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