Response of Quality Protein Maize (QPM) hybrids for grain yield in diverse environments
Genotype (G) × environment (E) interaction is very important for the evaluation of cultivars in breeding programmes. Present study was conducted to assess the effect of environment and yield stability of 68 quality protein maize (QPM) hybrids at three test environments [Begusarai (E1), Udaipur (E2)...
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Indian Council of Agricultural Research
2020-07-01
|
| Series: | The Indian Journal of Agricultural Sciences |
| Subjects: | |
| Online Access: | https://epubs.icar.org.in/index.php/IJAgS/article/view/102218 |
| _version_ | 1811164731126317056 |
|---|---|
| author | Ramesh Kumar Jyoti Kaul Ya shmeet Kaur A K Das Avinash Singode Mukesh Choudhary R B Dubey D Sravani G Mukri S Rakshit |
| author_facet | Ramesh Kumar Jyoti Kaul Ya shmeet Kaur A K Das Avinash Singode Mukesh Choudhary R B Dubey D Sravani G Mukri S Rakshit |
| author_sort | Ramesh Kumar |
| collection | DOAJ |
| description |
Genotype (G) × environment (E) interaction is very important for the evaluation of cultivars in breeding programmes. Present study was conducted to assess the effect of environment and yield stability of 68 quality protein maize (QPM) hybrids at three test environments [Begusarai (E1), Udaipur (E2) and Karim Nagar (E3)] in randomized block design (RBD). Data was analysed using the additive main effects and multiplicative interaction (AMMI) and genotype main effects and genotype by environment (GGE) biplot methods. The variation in genotypes, environments and genotype × environment interactions (G×E) was highly significant. Maximum variation was explained by G×E interactions (53.84%) and least by differences in environmental conditions (2.36%). Genotype × environment interaction was main source of variation followed by genotypes and environments. Together the two AMMI principal coordinates axes (PCA) explained 100% of phenotypic variation. AMMI Stability value (ASV) was calculated using ASV scores. Among these QPM hybrids, G59 was found to be the most stable with ASV of 0.174. The GGE biplot explained 77.41% of the total variation relative to G and GEI. Superior cross combinations for specific locations were also identified, viz. DQL2053 ×CML161, DQL2028 × CML161, DQL2047 × CML165, DQL2037 × CML161, DQL2042 × CLQRCY40, DQL2032 × CML165, DQL2047 × CML165 and DQL2072 ×CLQRCY40 in E1, DQL2063 × CML161, DQL2057 × CML161, DQL2053 × CML165, DQL2080 × CLQRCY40 and DQL2065 × CLQRCY40 in E2 and DQL2063 × CML161, DQL2039 × CML165, DQL2140 × CML161, DQL2082 × CLQRCY40 and DQL2024 × CML165 in E3.
|
| first_indexed | 2024-04-10T15:26:13Z |
| format | Article |
| id | doaj.art-c594e3e9bae64438bfec6913d234750b |
| institution | Directory Open Access Journal |
| issn | 0019-5022 2394-3319 |
| language | English |
| last_indexed | 2024-04-10T15:26:13Z |
| publishDate | 2020-07-01 |
| publisher | Indian Council of Agricultural Research |
| record_format | Article |
| series | The Indian Journal of Agricultural Sciences |
| spelling | doaj.art-c594e3e9bae64438bfec6913d234750b2023-02-14T09:09:59ZengIndian Council of Agricultural ResearchThe Indian Journal of Agricultural Sciences0019-50222394-33192020-07-0190410.56093/ijas.v90i4.102218Response of Quality Protein Maize (QPM) hybrids for grain yield in diverse environmentsRamesh Kumar0Jyoti Kaul1Ya shmeet Kaur2A K Das3Avinash Singode4Mukesh Choudhary5R B Dubey6D Sravani7G Mukri8S Rakshit9ICAR-Indian Institute of Maize Research, Ludhiana 141004, IndiaICAR-Indian Institute of Maize Research, Ludhiana 141004, IndiaICAR-Indian Institute of Maize Research, Ludhiana 141004, IndiaICAR-Indian Institute of Maize Research, Ludhiana 141004, IndiaICAR-Indian Institute of Maize Research, Ludhiana 141004, IndiaICAR-Indian Institute of Maize Research, Ludhiana 141004, IndiaICAR-Indian Institute of Maize Research, Ludhiana 141004, IndiaICAR-Indian Institute of Maize Research, Ludhiana 141004, IndiaICAR-Indian Institute of Maize Research, Ludhiana 141004, IndiaICAR-Indian Institute of Maize Research, Ludhiana 141004, India Genotype (G) × environment (E) interaction is very important for the evaluation of cultivars in breeding programmes. Present study was conducted to assess the effect of environment and yield stability of 68 quality protein maize (QPM) hybrids at three test environments [Begusarai (E1), Udaipur (E2) and Karim Nagar (E3)] in randomized block design (RBD). Data was analysed using the additive main effects and multiplicative interaction (AMMI) and genotype main effects and genotype by environment (GGE) biplot methods. The variation in genotypes, environments and genotype × environment interactions (G×E) was highly significant. Maximum variation was explained by G×E interactions (53.84%) and least by differences in environmental conditions (2.36%). Genotype × environment interaction was main source of variation followed by genotypes and environments. Together the two AMMI principal coordinates axes (PCA) explained 100% of phenotypic variation. AMMI Stability value (ASV) was calculated using ASV scores. Among these QPM hybrids, G59 was found to be the most stable with ASV of 0.174. The GGE biplot explained 77.41% of the total variation relative to G and GEI. Superior cross combinations for specific locations were also identified, viz. DQL2053 ×CML161, DQL2028 × CML161, DQL2047 × CML165, DQL2037 × CML161, DQL2042 × CLQRCY40, DQL2032 × CML165, DQL2047 × CML165 and DQL2072 ×CLQRCY40 in E1, DQL2063 × CML161, DQL2057 × CML161, DQL2053 × CML165, DQL2080 × CLQRCY40 and DQL2065 × CLQRCY40 in E2 and DQL2063 × CML161, DQL2039 × CML165, DQL2140 × CML161, DQL2082 × CLQRCY40 and DQL2024 × CML165 in E3. https://epubs.icar.org.in/index.php/IJAgS/article/view/102218Additive main effects and multiplicative interaction (AMMI)Genotype and environment interaction (G×E)GGE biplotPCAQPM |
| spellingShingle | Ramesh Kumar Jyoti Kaul Ya shmeet Kaur A K Das Avinash Singode Mukesh Choudhary R B Dubey D Sravani G Mukri S Rakshit Response of Quality Protein Maize (QPM) hybrids for grain yield in diverse environments The Indian Journal of Agricultural Sciences Additive main effects and multiplicative interaction (AMMI) Genotype and environment interaction (G×E) GGE biplot PCA QPM |
| title | Response of Quality Protein Maize (QPM) hybrids for grain yield in diverse environments |
| title_full | Response of Quality Protein Maize (QPM) hybrids for grain yield in diverse environments |
| title_fullStr | Response of Quality Protein Maize (QPM) hybrids for grain yield in diverse environments |
| title_full_unstemmed | Response of Quality Protein Maize (QPM) hybrids for grain yield in diverse environments |
| title_short | Response of Quality Protein Maize (QPM) hybrids for grain yield in diverse environments |
| title_sort | response of quality protein maize qpm hybrids for grain yield in diverse environments |
| topic | Additive main effects and multiplicative interaction (AMMI) Genotype and environment interaction (G×E) GGE biplot PCA QPM |
| url | https://epubs.icar.org.in/index.php/IJAgS/article/view/102218 |
| work_keys_str_mv | AT rameshkumar responseofqualityproteinmaizeqpmhybridsforgrainyieldindiverseenvironments AT jyotikaul responseofqualityproteinmaizeqpmhybridsforgrainyieldindiverseenvironments AT yashmeetkaur responseofqualityproteinmaizeqpmhybridsforgrainyieldindiverseenvironments AT akdas responseofqualityproteinmaizeqpmhybridsforgrainyieldindiverseenvironments AT avinashsingode responseofqualityproteinmaizeqpmhybridsforgrainyieldindiverseenvironments AT mukeshchoudhary responseofqualityproteinmaizeqpmhybridsforgrainyieldindiverseenvironments AT rbdubey responseofqualityproteinmaizeqpmhybridsforgrainyieldindiverseenvironments AT dsravani responseofqualityproteinmaizeqpmhybridsforgrainyieldindiverseenvironments AT gmukri responseofqualityproteinmaizeqpmhybridsforgrainyieldindiverseenvironments AT srakshit responseofqualityproteinmaizeqpmhybridsforgrainyieldindiverseenvironments |