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Genotype × Environment Interaction and Grain Yield Stability in Chinese Hybrid Rice


 
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1. Title Title of document Genotype × Environment Interaction and Grain Yield Stability in Chinese Hybrid Rice
 
2. Creator Author's name, affiliation, country Jiban Shrestha; Nepal Agricultural Research Council, Agriculture Botany Division, Khumaltar, Lalitpur, Nepal; Nepal
 
2. Creator Author's name, affiliation, country Ujjawal Kumar Singh Kushwaha; Nepal Agricultural Research Council, Agriculture Botany Division, Khumaltar, Lalitpur, Nepal; Nepal
 
2. Creator Author's name, affiliation, country Bidhya Maharjan; Nepal Agricultural Research Council, Agriculture Botany Division, Khumaltar, Lalitpur, Nepal; Nepal
 
2. Creator Author's name, affiliation, country Sushil Raj Subedi; National Rice Research Program, Hardinath, Dhanusha, Nepal; Nepal
 
2. Creator Author's name, affiliation, country Manoj Kandel; Hill Crops Research Program, Kabre, Dolakha, Nepal; Nepal
 
2. Creator Author's name, affiliation, country Amrit Prasad Poudel; Regional Agricultural Research Station, Lumle, Kaski, Nepal; Nepal
 
2. Creator Author's name, affiliation, country Rajendra Prasad Yadav; Regional Agricultural Research Station, Parwanipur, Bara, Nepal; Nepal
 
3. Subject Discipline(s) Agriculture
 
3. Subject Keyword(s)
 
4. Description Abstract Multi-environment testing helps to identify stable genotypes. The objective of this study was to evaluate Chinese hybrid rice varieties for their grain yield and yield stability at different environments. The multilocation rice evaluation trials were conducted during summer seasons of 2017 and 2018 at five different environments, namely, Hardinath (Dhanusha), Kabre (Dolakha), Parwanipur (Bara), Khumaltar (Lalitpur) and Dhakaltar (Tanahun) in Nepal. Four hybrid rice varieties namely LPNBR1618, LPNBR1615, LPNBR1628 and LPNBR1632 (Standard check variety) were evaluated in a randomized complete block design with four replications in each location. The results indicated a significant (p<0.05) variation in grain yield among the genotypes at Hardinath, Khumaltar, and Kabre whereas they were non-significant for grain yield at Dhakaltar and Parwanipur. The combined analysis of variance indicated significant (p<0.05) effects of environment and genotype × environment (G x E) interactions on grain yield. The pooled data over locations and years showed that LPNBR1632 produced the highest grain yield (7.5 tons/ ha) followed by LPNBR 1618 (6.3 tons/ ha) in terai region (Hardinath and Parwanipur). Similarly, LPNBR1618 gave the highest grain yield (10.3 tons/ ha) followed by LPNBR1615 (9.5 tons/ ha) in mid hills region (Kabre, Khumaltar and Lumle). The genotypes LPNBR1615 (b=1.13), LPNBR1618 (b=1.19) and LPNBR1628 (b=1.15) had more than unity regression indicating the genotype’s suitability towards favorable environments. GGE biplot showed genotype LPNBR1615 was stable genotype among all genotypes. This study suggests that LPNBR 1615 can be grown for higher grain yield production in terai and mid hills of Nepal.
 
5. Publisher Organizing agency, location University of Ruhuna
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2020-06-30
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier https://www.rjs.ruh.ac.lk/index.php/rjs/article/view/290
 
11. Source Title; vol., no. (year) Ruhuna Journal of Science; Vol 11, No 1 (2020): Ruhuna Journal of Science
 
12. Language English=en en
 
13. Relation Supp. Files
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
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