| What experimental design was used in the investigation of rice genotypes during Kharif 2023? | randomized block design (RBD) | The present investigation was conducted with 41 genotypes of Rice during Kharif 2023 in randomized block design (RBD) with three replications. The 41 rice genotypes were characterized based on 13 quantitative traits viz, days to 50 per cent flowering, days to maturity, flag leaf length, flag leaf width, the total number of effective tillers per plant, plant height (cm), panicle length (cm), the number of spikelets per panicle, biological yield, grain yield per plant, test weight, harvest index, using Mahalanobis D2 statistics. D2 analysis distributed the 41 genotypes into six clusters, of which cluster I was the largest with 36 genotypes. | 88 | definition | 0.940 | https://epubs.icar.org.in/index.php/AAR/article/view/168765 | The present investigation was conducted with 41 genotypes of Rice during Kharif 2023 in randomized block design (RBD) with three replications. | | p[0] | 0.700 | valid |
| What statistical method was applied to analyze the quantitative traits of the rice genotypes? | Mahalanobis D2 statistics | The present investigation was conducted with 41 genotypes of Rice during Kharif 2023 in randomized block design (RBD) with three replications. The 41 rice genotypes were characterized based on 13 quantitative traits viz, days to 50 per cent flowering, days to maturity, flag leaf length, flag leaf width, the total number of effective tillers per plant, plant height (cm), panicle length (cm), the number of spikelets per panicle, biological yield, grain yield per plant, test weight, harvest index, using Mahalanobis D2 statistics. D2 analysis distributed the 41 genotypes into six clusters, of which cluster I was the largest with 36 genotypes. | 506 | definition | 0.940 | https://epubs.icar.org.in/index.php/AAR/article/view/168765 | The 41 rice genotypes were characterized based on 13 quantitative traits viz, days to 50 per cent flowering, days to maturity, flag leaf length, flag leaf width, the total number of effective tillers per plant, plant height (cm), panicle length (cm), the number of spikelets per panicle, biological yield, grain yield per plant, test weight, harvest index, using Mahalanobis D2 statistics. | |
| What statistical method was used to analyze the quantitative traits of the rice genotypes? | Mahalanobis D2 statistics | The present investigation was conducted with 41 genotypes of Rice during Kharif 2023 in randomized block design (RBD) with three replications. The 41 rice genotypes were characterized based on 13 quantitative traits viz, days to 50 per cent flowering, days to maturity, flag leaf length, flag leaf width, the total number of effective tillers per plant, plant height (cm), panicle length (cm), the number of spikelets per panicle, biological yield, grain yield per plant, test weight, harvest index, using Mahalanobis D2 statistics. D2 analysis distributed the 41 genotypes into six clusters, of which cluster I was the largest with 36 genotypes. | 506 | definition | 0.940 | https://epubs.icar.org.in/index.php/AAR/article/view/168765 | The 41 rice genotypes were characterized based on 13 quantitative traits viz, days to 50 per cent flowering, days to maturity, flag leaf length, flag leaf width, the total number of effective tillers per plant, plant height (cm), panicle length (cm), the number of spikelets per panicle, biological yield, grain yield per plant, test weight, harvest index, using Mahalanobis D2 statistics. | |
| How many clusters were formed based on D2 analysis of the rice genotypes? | six clusters | The present investigation was conducted with 41 genotypes of Rice during Kharif 2023 in randomized block design (RBD) with three replications. The 41 rice genotypes were characterized based on 13 quantitative traits viz, days to 50 per cent flowering, days to maturity, flag leaf length, flag leaf width, the total number of effective tillers per plant, plant height (cm), panicle length (cm), the number of spikelets per panicle, biological yield, grain yield per plant, test weight, harvest index, using Mahalanobis D2 statistics. D2 analysis distributed the 41 genotypes into six clusters, of which cluster I was the largest with 36 genotypes. | 579 | factual | 0.490 | https://epubs.icar.org.in/index.php/AAR/article/view/168765 | D2 analysis distributed the 41 genotypes into six clusters, of which cluster I was the largest with 36 genotypes. | | p[0] | 0.700 | valid |
| What was the largest cluster formed by D2 analysis of the rice genotypes? | cluster I | The present investigation was conducted with 41 genotypes of Rice during Kharif 2023 in randomized block design (RBD) with three replications. The 41 rice genotypes were characterized based on 13 quantitative traits viz, days to 50 per cent flowering, days to maturity, flag leaf length, flag leaf width, the total number of effective tillers per plant, plant height (cm), panicle length (cm), the number of spikelets per panicle, biological yield, grain yield per plant, test weight, harvest index, using Mahalanobis D2 statistics. D2 analysis distributed the 41 genotypes into six clusters, of which cluster I was the largest with 36 genotypes. | 602 | factual | 0.490 | https://epubs.icar.org.in/index.php/AAR/article/view/168765 | D2 analysis distributed the 41 genotypes into six clusters, of which cluster I was the largest with 36 genotypes. | | p[0] | 0.700 | valid |
| Which cluster contained the largest number of rice genotypes? | cluster I | The present investigation was conducted with 41 genotypes of Rice during Kharif 2023 in randomized block design (RBD) with three replications. The 41 rice genotypes were characterized based on 13 quantitative traits viz, days to 50 per cent flowering, days to maturity, flag leaf length, flag leaf width, the total number of effective tillers per plant, plant height (cm), panicle length (cm), the number of spikelets per panicle, biological yield, grain yield per plant, test weight, harvest index, using Mahalanobis D2 statistics. D2 analysis distributed the 41 genotypes into six clusters, of which cluster I was the largest with 36 genotypes. | 602 | factual | 0.490 | https://epubs.icar.org.in/index.php/AAR/article/view/168765 | D2 analysis distributed the 41 genotypes into six clusters, of which cluster I was the largest with 36 genotypes. | | p[0] | 0.700 | valid |
| How many genotypes were included in the largest cluster formed by D2 analysis? | 36 genotypes | The present investigation was conducted with 41 genotypes of Rice during Kharif 2023 in randomized block design (RBD) with three replications. The 41 rice genotypes were characterized based on 13 quantitative traits viz, days to 50 per cent flowering, days to maturity, flag leaf length, flag leaf width, the total number of effective tillers per plant, plant height (cm), panicle length (cm), the number of spikelets per panicle, biological yield, grain yield per plant, test weight, harvest index, using Mahalanobis D2 statistics. D2 analysis distributed the 41 genotypes into six clusters, of which cluster I was the largest with 36 genotypes. | 633 | factual | 0.370 | https://epubs.icar.org.in/index.php/AAR/article/view/168765 | D2 analysis distributed the 41 genotypes into six clusters, of which cluster I was the largest with 36 genotypes. | | p[0] | 0.700 | valid |
| What was the inter-cluster distance between cluster IV and cluster VI? | 247.17 | Lowest inter cluster distance was between cluster I and cluster IV which was 60.58, and highest inter cluster distance was between the cluster IV and cluster VI which was 247.17,Therefore genotypes present in these clusters should be used for the future hybridization program. | 171 | factual | 0.370 | https://epubs.icar.org.in/index.php/AAR/article/view/168765 | Lowest inter cluster distance was between cluster I and cluster IV which was 60.58, and highest inter cluster distance was between the cluster IV and cluster VI which was 247.17,Therefore genotypes present in these clusters should be used for the future hybridization program. | | p[0] | 0.700 | valid |