International Journal of Statistics and Applied Mathematics
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2023, Vol. 8, Special Issue 4

Assessment of yield and it’s contributing traits in maize population


Author(s): K Sumathi, K Padmanaban and M Ameer Sunaithal Begum

Abstract:
The present study was carried out at Department of Millets, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India to identify the best performing Sorghum Downy Mildew resistant progeny for agronomical traits. The objective of this study was to assess the better per se performance of the resistant progeny for yield and its contributing traits. Twelve biometrical traits of five SDM resistant progenies viz., UMI 79/936-C1-3, UMI 79/936-C1-7, UMI 79/936-C1-29, UMI 79/936-C1-67 and UMI 79/936-C1-101 were used for this purpose. Analysis revealed that among the five progenies studied, four progenies viz., UMI 79/936-C1-7, UMI 79/936-C1-67, UMI 79/936-C1-67 and UMI 79/936-C1-101 showed better per se performance for yield and its contributing traits. These four progenies showed highest mean values. It exhibited more mean values than the parents for the characters viz., Cob length, Cob diameter, No. of rows per cob, No. of. Kernels per row, Cob weight, Yield per plant, 100 grain weight. Based on the present assessment, identified four progenies possess the resistance to disease along with better per se performance for yield and its contributing traits.


Pages: 831-833 | Views: 165 | Downloads: 1

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How to cite this article:
K Sumathi, K Padmanaban, M Ameer Sunaithal Begum. Assessment of yield and it’s contributing traits in maize population. Int J Stat Appl Math 2023;8(4S):831-833.

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