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Anand Agricultural University, Anand

Anand Agricultural University (AAU) was established in 2004 at Anand with the support of the Government of Gujarat, Act No.(Guj 5 of 2004) dated April 29, 2004. Caved out of the erstwhile Gujarat Agricultural University (GAU), the dream institution of Sardar Vallabhbhai Patel and Dr. K. M. Munshi, the AAU was set up to provide support to the farming community in three facets namely education, research and extension activities in Agriculture, Horticulture Engineering, product Processing and Home Science. At present there seven Colleges, seventeen Research Centers and six Extension Education Institute working in nine districts of Gujarat namely Ahmedabad, Anand, Dahod, Kheda, Panchmahal, Vadodara, Mahisagar, Botad and Chhotaudepur AAU's activities have expanded to span newer commodity sectors such as soil health card, bio-diesel, medicinal plants apart from the mandatory ones like rice, maize, tobacco, vegetable crops, fruit crops, forage crops, animal breeding, nutrition and dairy products etc. the core of AAU's operating philosophy however, continues to create the partnership between the rural people and committed academic as the basic for sustainable rural development. In pursuing its various programmes AAU's overall mission is to promote sustainable growth and economic independence in rural society. AAU aims to do this through education, research and extension education. Thus, AAU works towards the empowerment of the farmers.

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Subject: Agricultural Meteorology × Author: Khushu, M. K. × End date: 1999 × Start date: 1990 ×
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    ThesisItemOpen Access
    CROP WEATHER RELATIONSHIPS AND YIELD PREDICTION OF PIGEONPEA (Cajanus cajan (L.) MILLSP.) CV. GT-100 UNDER RAINFED CONDITION IN MIDDLE GUJARAT AGROCLIMATIC REGION
    (AAU, Anand, 1994) Khushu, M. K.; Mehta, A. N.
    Pigeonpea (Ca.ianus ca.ian (L.) Millsp.) is one of major grain legume crops in tropical and subtropical regions of India. It is generally grown as rainfed crop in scanty rainfall regions with minimum resources of water f0r irrigation. It is more drought resistant than any other field crop. It can sustain itself under higher temperature regimes. Since the effects of weather on yield are complex, need for a deeper and clear understanding of the climatic factors affecting the growth and yield of pigeonpea is necessary. The field experiments during Kharif seasons of 1992 and 1993 were conducted with Cv. GT-100 and laidout in randomised block design with four dates of sowing replicated five times. The results obtained during the course of study revealed that weather played a significant role in deciding the yield of pigeonpea. However, its variables affected the crop growth and yield differently in different phenophases during its growing period. The results regarding to the grain yield as well as total biomass of pigeonpea as influenced by dates of sowing showed that early sowing (D1) produced significantly higher grain yield as well total biomass, both of which decreased with delay in sowing. Similar trend was found in yield attributing characters, such as the number of pods per plant, seeds per pod and test weight as well as plant height. The favourable effects of early planting on crop growth and yield could be attributed to lower maximum temperatures in the phenophase from initiation of secondary branches %o flower bud initiation (P4) and higher night temperatures at pod setting phase (P6) in addition to higher vapoiir pressure, lower hours of bright sun shine throughout the growing season. The rainfall at flower bud initiation had also shown favourable effect in contributing to the higher yield of pigeonpea. Correlation of grain yield and total biomass with weather parameters and agrometeorological indices indicated that, besides the favourable effects of weather parameters discussed in the proceeding paragraph, the positive correlations of accumulated GDD and PTU in both vegetative period as well as flowering period in addition to accumulated PAR for entire period were found with grain yield and also with total biomass. The regression analysis between accumulated dry matter with accumulated PAR and accumulated GDD indicated that APAR use efficiency did not vary with the date of sowing while heat use efficiency did vary with the treatments. Path coefficient analysis revealed that rainfall in the phenophase P4, Min T and VP2 in the phenophase P6, Accu. GDD and Accu. PTU in the phenophase P8 and accumulated PAR in the phenophase P9 could be used efficiently in predicting grain yield of pigeonpea. Prediction models were developed by multiple regression technique for predicting grain yield. The model 4.6 based on RF in the phase P4, Min T and VP2 in the phenophase P6, accumulated GDD in the phenophase P8 and accumulated PAR "In the phenophase P9 with R2 = 0.95 was the best for predicting the grain yields at about 30 to 40 days before maturity. Standard partial regression coefficients provided relative importance of the parameters in predicting model and were in order VP2 (P6) Accu. GDD (P8). Min T (P6), RF (P4) and Accu. PAR (P9).