Statistical Models for Stability Analysis in Watermelon
Fourteen promising F1 hybrids of watermelon namely IIHR-188 X IIHR-118, IIHR 114 X IIHR 118 , IIHR 119 X IIHR- 20-1, Arka Manik X IIHR 46, IIHR 43 X IIHR 46, Arka Manik X IIHR-188, Arka Jyothi, NS-295, Kushboo, Madhubala, Apoorva, CWH-7 and Riya were evaluated in experimental plots of Division of Ve...
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Format: | Article |
Language: | English |
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Society for Promotion of Horticulture - Indian Institute of Horticultural Research
2009-12-01
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Series: | Journal of Horticultural Sciences |
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Online Access: | https://jhs.iihr.res.in/index.php/jhs/article/view/534 |
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author | R Venugopalan M Pitchaimuthu |
author_facet | R Venugopalan M Pitchaimuthu |
author_sort | R Venugopalan |
collection | DOAJ |
description | Fourteen promising F1 hybrids of watermelon namely IIHR-188 X IIHR-118, IIHR 114 X IIHR 118 , IIHR 119 X IIHR- 20-1, Arka Manik X IIHR 46, IIHR 43 X IIHR 46, Arka Manik X IIHR-188, Arka Jyothi, NS-295, Kushboo, Madhubala, Apoorva, CWH-7 and Riya were evaluated in experimental plots of Division of Vegetable Crops, Indian Institute of Horticultural Research, Bangalore during 2002-04. Information about biometrical characters such as fruit length (cm), fruit girth (cm), days to first male flower opening&female flower opening, rind thickness(cm) and TSS (%) along with yield (t ha-1), were used to develop stability models to identify stable hybrid(s) for a wide range for cultivation. Stability models thus developed indicated that two hybrids, viz., Arka Jyothi (with yield potential of 75.91 t ha-1) across the years and NS-295 (64.25 t ha-1) were stable for a wide range for cultivation. Statistical measures of stability, viz., regression coefficient, deviation from regression co-efficient and ecovalence measures, were worked out and utilized for grouping of hybrids into different categories based on their cumulative performance over the years. |
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institution | Directory Open Access Journal |
issn | 0973-354X 2582-4899 |
language | English |
last_indexed | 2024-03-12T13:35:15Z |
publishDate | 2009-12-01 |
publisher | Society for Promotion of Horticulture - Indian Institute of Horticultural Research |
record_format | Article |
series | Journal of Horticultural Sciences |
spelling | doaj.art-365da1e0db1a4b6db4be90a427f73a692023-08-24T05:26:26ZengSociety for Promotion of Horticulture - Indian Institute of Horticultural ResearchJournal of Horticultural Sciences0973-354X2582-48992009-12-014210.24154/jhs.v4i2.534524Statistical Models for Stability Analysis in WatermelonR VenugopalanM PitchaimuthuFourteen promising F1 hybrids of watermelon namely IIHR-188 X IIHR-118, IIHR 114 X IIHR 118 , IIHR 119 X IIHR- 20-1, Arka Manik X IIHR 46, IIHR 43 X IIHR 46, Arka Manik X IIHR-188, Arka Jyothi, NS-295, Kushboo, Madhubala, Apoorva, CWH-7 and Riya were evaluated in experimental plots of Division of Vegetable Crops, Indian Institute of Horticultural Research, Bangalore during 2002-04. Information about biometrical characters such as fruit length (cm), fruit girth (cm), days to first male flower opening&female flower opening, rind thickness(cm) and TSS (%) along with yield (t ha-1), were used to develop stability models to identify stable hybrid(s) for a wide range for cultivation. Stability models thus developed indicated that two hybrids, viz., Arka Jyothi (with yield potential of 75.91 t ha-1) across the years and NS-295 (64.25 t ha-1) were stable for a wide range for cultivation. Statistical measures of stability, viz., regression coefficient, deviation from regression co-efficient and ecovalence measures, were worked out and utilized for grouping of hybrids into different categories based on their cumulative performance over the years.https://jhs.iihr.res.in/index.php/jhs/article/view/534Ecovalence MeasureGE InteractionStability ModelsWatermelon |
spellingShingle | R Venugopalan M Pitchaimuthu Statistical Models for Stability Analysis in Watermelon Journal of Horticultural Sciences Ecovalence Measure GE Interaction Stability Models Watermelon |
title | Statistical Models for Stability Analysis in Watermelon |
title_full | Statistical Models for Stability Analysis in Watermelon |
title_fullStr | Statistical Models for Stability Analysis in Watermelon |
title_full_unstemmed | Statistical Models for Stability Analysis in Watermelon |
title_short | Statistical Models for Stability Analysis in Watermelon |
title_sort | statistical models for stability analysis in watermelon |
topic | Ecovalence Measure GE Interaction Stability Models Watermelon |
url | https://jhs.iihr.res.in/index.php/jhs/article/view/534 |
work_keys_str_mv | AT rvenugopalan statisticalmodelsforstabilityanalysisinwatermelon AT mpitchaimuthu statisticalmodelsforstabilityanalysisinwatermelon |