| Autor: |
BANAKARA, SANTHOSHKUMARI, LOHITHASWA, H. C., BIRADAR, SUNILKUMAR, PATIL, KALMESHWER GOUDA, KESHAVAMURTHY, B. C., BASHA, S. HABIB, AMIT, BIJJUR, RAO, A. MOHAN, NATARAJA, KARABA N. |
| Předmět: |
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| Zdroj: |
Mysore Journal of Agricultural Sciences; Oct-Dec2022, Vol. 56 Issue 4, p386-392, 7p |
| Abstrakt: |
Low kernel moisture content (KMC) at harvest in maize grain is an essential feature to effectively reduce pre- and post-harvest losses and enable mechanical harvesting. To ensure low KMC at harvest, the inbred lines are required to exhibit rapid kernel drying rates (KDR). In the present study, 320 maize inbred lines were evaluated during kharif 2021 at two locations to understand the behaviour of these lines for KMC at three intervals viz., 40, 47 and 57 days after silking and the corresponding KDRs by employing the principal component analysis (PCA) and k-means clustering. The analysis of variance indicated the presence of substantial variability for KMC and KDR traits. The first three principal components (PCs) explained the cumulative variation of 80.43 per cent of which PC1, PC2, and PC3 explained the variation of 41.6, 19.9 and 19.93 per cent, respectively. The relative positions of inbred lines in terms of PC1 and PC2 scores in PCA plot also indicated the presence of huge genetic diversity in the inbred lines. Kernel moisture content at 40, 47 and 57 days after silking and KDR at 47 days after silking were the major positive contributors to the total variation among the inbred lines. The 320 inbred lines were grouped into five clusters using k-means algorithm. Clusters II and III showed the highest inter-cluster distance with cluster V, as they differed in their KMC and KDR behaviour. The inbred lines grouped in the cluster I can be exploited for rapid dry down breeding in maize as high average drying rate of 0.82 per cent was exhibited by these lines. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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