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TRainfall is the most uncertain and important production factor for dryland agriculture. Dryland agriculture in India is always a risky enterprise because of variability in seasonal monsoon rains. It is not uncommon to observe both inter and intra-seasonal drought in Indian scenario. The available scope to increase the productivity under dryland agriculture was not fully tapped because of dearth of information from agrometeorological side especially on risk free growing period, right from field preparation. Proper blending of climatic information with the crop management agronomy would be one among the best ways to increase and stabilise the production under dryland situation. The importance of length of growing period is witnessed particularly in dryland agriculture. Different agrometeorologists suggested different methods for the computation of LGP. In this book, authors briefly described about the three different models for computing LGP for dryland. This book will be useful for P. G students and research scholar.
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About the Author:
Dr. S. Anitta Fanish did her graduation and post graduation at Tamil Nadu Agricultural University, Coimbatore. She was awarded senior Research Fellowship during her doctorate.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2013
- ISBN 10 3659427853
- ISBN 13 9783659427855
- BindingPaperback
- Number of pages136
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -TRainfall is the most uncertain and important production factor for dryland agriculture. Dryland agriculture in India is always a risky enterprise because of variability in seasonal monsoon rains. It is not uncommon to observe both inter and intra-seasonal drought in Indian scenario. The available scope to increase the productivity under dryland agriculture was not fully tapped because of dearth of information from agrometeorological side especially on risk free growing period, right from field preparation. Proper blending of climatic information with the crop management agronomy would be one among the best ways to increase and stabilise the production under dryland situation. The importance of length of growing period is witnessed particularly in dryland agriculture. Different agrometeorologists suggested different methods for the computation of LGP. In this book, authors briefly described about the three different models for computing LGP for dryland. This book will be useful for P. G students and research scholar. 136 pp. Englisch. Seller Inventory # 9783659427855
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Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - TRainfall is the most uncertain and important production factor for dryland agriculture. Dryland agriculture in India is always a risky enterprise because of variability in seasonal monsoon rains. It is not uncommon to observe both inter and intra-seasonal drought in Indian scenario. The available scope to increase the productivity under dryland agriculture was not fully tapped because of dearth of information from agrometeorological side especially on risk free growing period, right from field preparation. Proper blending of climatic information with the crop management agronomy would be one among the best ways to increase and stabilise the production under dryland situation. The importance of length of growing period is witnessed particularly in dryland agriculture. Different agrometeorologists suggested different methods for the computation of LGP. In this book, authors briefly described about the three different models for computing LGP for dryland. This book will be useful for P. G students and research scholar. Seller Inventory # 9783659427855
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Book Description Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Fanish S. AnittaDr. S. Anitta Fanish did her graduation and post graduation at Tamil Nadu Agricultural University, Coimbatore. She was awarded senior Research Fellowship during her doctorate.TRainfall is the most uncertain and im. Seller Inventory # 5155613
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