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Parveen ¹, Chetna ², Om Prakash Jitarwal ¹, Deepak Sangwan ³

Affiliations
1 Department of Horticulture, College of Agriculture, CCS HAU, Hisar, Haryana, IN
2 Department of Mathematics & Statistics, College of Basic Science & Humanities, CCS HAU, Hisar, Haryana, IN
3 Department of Fruit Science, College of Horticulture. MHU, Karnal, Haryana, IN

Abstract

Evaluation of different guava is pre-requisties for morpho-physiological traits. In view of this, fifteen guava varieties were evaluated at the Guava Demonstration Centre, Bhuna (Fatehabad) and in the Postgraduate Laboratory of the Department of Horticulture, CCS Haryana Agricultural University, Hisar during the year 2018-19 for both the season i.e. rainy and winter. All varieties under the study were evaluated for quantitative characters and distinct variation was observed. Among the studied varieties, the maximum plant height during both the season i.e. rainy (3.75 m) and winter (4.09 m) and foliage density (number of leaves per running meter) was observed to be maximum (dense) in KG Guava.

Keywords

evaluation, foliage density, KG Guava, plant height, quantitative, season and variation.

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Chetna ¹, Pushpa ¹, Aditi ¹, Nisha ², Ajay Sharma ¹, Monika Devi ²

Affiliations
1 Department of Mathematics and Statistics, CCSHAU, Hisar, Haryana, IN
2 Department of Agricultural Economics, CCS HAU, Hisar, Haryana, IN

Abstract

Based on weather data from 1980-1981 to 2013-2014 for the districts of Hisar, Bhiwani, and Sirsa, as well as from 1997-1998 to 2011-2012 for the district of Fatehabad, the western zone of Haryana has generated zonal wheat yield models. Multiple linear regression and main component analysis were employed to achieve this objective. The models' validity was confirmed for the post-sample years 2014-15, 2015-16, 2016-17, 2017-18, and 2018-19. The overall results show a preference for using prediction equations based on principal component analysis for recording % deviations from real-time yields. The zonal weather models can forecast the district-level wheat production four to five weeks before crop harvest.

Keywords

multiple linear regression, Eigen values, PC components, higher loading displaying weather variables

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