The historical productivity data at block level contained aggregated from various land use forms viz., upland, lowland and medium land situations. As such, it has been difficult to assess the exact influence of climatic parameters alone on productivity of the entire block, as the situations under lowland may be quite different compared to upland and medium land situations. Similar work at micro (block) level for other rainfed production systems can be useful in planning management strategies for enhancing productivity. The model underestimated the yield during 1989 for Derabasi and Rajanagar stations in Orissa and overestimated for other station for all the years of data recorded under high yield and low yield scenarios. There is a good agreement between the simulated and observed values for all the years of study in all the states selected for the study. The low yield in different state is attributed to the fairly high temperature during the reproductive stages. This indicated that the model output was significant for these stations also. Therefore, the model is able to predict the values of dry matter and yield for various blocks of Orissa state with good accuracy.
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Ph.D.(Agromet)Awarded in A.U,(Andhra Pradesh),2010.M.Sc(Agromet)in M.P.K.V. Rahuri,(MS),during 1995-98.I have more than 13 years experience in the field of AgrilMeteorology and DSSAT Model & from 2000 to till date at CRIDA, Hyderabad and NCMRWF/IMD, Govt of India New Delhi & publish national & international journal more than 30 papers & 4chapters.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The historical productivity data at block level contained aggregated from various land use forms viz., upland, lowland and medium land situations. As such, it has been difficult to assess the exact influence of climatic parameters alone on productivity of the entire block, as the situations under lowland may be quite different compared to upland and medium land situations. Similar work at micro (block) level for other rainfed production systems can be useful in planning management strategies for enhancing productivity. The model underestimated the yield during 1989 for Derabasi and Rajanagar stations in Orissa and overestimated for other station for all the years of data recorded under high yield and low yield scenarios. There is a good agreement between the simulated and observed values for all the years of study in all the states selected for the study. The low yield in different state is attributed to the fairly high temperature during the reproductive stages. This indicated that the model output was significant for these stations also. Therefore, the model is able to predict the values of dry matter and yield for various blocks of Orissa state with good accuracy. 488 pp. Englisch. Seller Inventory # 9783659422058
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Singh Pankaj KumarPh.D.(Agromet)Awarded in A.U,(Andhra Pradesh),2010.M.Sc(Agromet)in M.P.K.V. Rahuri,(MS),during 1995-98.I have more than 13 years experience in the field of AgrilMeteorology and DSSAT Model & from 2000 to till date a. Seller Inventory # 5155261
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Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Analysis of Rainfall variability of Rainfed Rice over Eastern India | Pankaj Kumar Singh (u. a.) | Taschenbuch | 488 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659422058 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 105592418
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The historical productivity data at block level contained aggregated from various land use forms viz., upland, lowland and medium land situations. As such, it has been difficult to assess the exact influence of climatic parameters alone on productivity of the entire block, as the situations under lowland may be quite different compared to upland and medium land situations. Similar work at micro (block) level for other rainfed production systems can be useful in planning management strategies for enhancing productivity. The model underestimated the yield during 1989 for Derabasi and Rajanagar stations in Orissa and overestimated for other station for all the years of data recorded under high yield and low yield scenarios. There is a good agreement between the simulated and observed values for all the years of study in all the states selected for the study. The low yield in different state is attributed to the fairly high temperature during the reproductive stages. This indicated that the model output was significant for these stations also. Therefore, the model is able to predict the values of dry matter and yield for various blocks of Orissa state with good accuracy.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 488 pp. Englisch. Seller Inventory # 9783659422058
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The historical productivity data at block level contained aggregated from various land use forms viz., upland, lowland and medium land situations. As such, it has been difficult to assess the exact influence of climatic parameters alone on productivity of the entire block, as the situations under lowland may be quite different compared to upland and medium land situations. Similar work at micro (block) level for other rainfed production systems can be useful in planning management strategies for enhancing productivity. The model underestimated the yield during 1989 for Derabasi and Rajanagar stations in Orissa and overestimated for other station for all the years of data recorded under high yield and low yield scenarios. There is a good agreement between the simulated and observed values for all the years of study in all the states selected for the study. The low yield in different state is attributed to the fairly high temperature during the reproductive stages. This indicated that the model output was significant for these stations also. Therefore, the model is able to predict the values of dry matter and yield for various blocks of Orissa state with good accuracy. Seller Inventory # 9783659422058
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