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Data on concurrent improvement of sorghum fodder yield and quality under water stressed condition

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Title Data on concurrent improvement of sorghum fodder yield and quality under water stressed condition
 
Identifier https://doi.org/10.21421/D2/C7K9PS
 
Creator Vinutha K Somegowda
Prasad KVSV
Anilkumar Vemula
Jalaja Naravula
Gandham Prasad
Laavanya Rayaprolu
Abhishek Rathore
Michael Blümmel
Santosh P Deshpande
 
Publisher ICRISAT Dataverse
 
Description This dataset includes three-year research data on the evaluation of sorghum for fodder quality under terminal drought in vertisols(black soil). The trial was conducted for three years - 2012, 2013 and 2015 in post rainy season in vertisols. The experiment was laid out in an alpha lattice design with 3 replications each under control (irrigated) and stress (irrigation withheld). For drought induction in the stress plots, irrigation was withheld before initiation of booting, at 50 Days After Sowing (DAS) and continued further until maturity, whereas in control plots irrigation was provided whenever required. Further to avoid water seepage from control to stress plots, buffer rows (8) of bulk sorghum were sown between two treatment plots. Following Agronomic traits were recorded: Days to fifty percent flowering, Plant height, Grain yield, Stalk yield (fresh and dry) and test weight. Post recording of agronomic traits the biomass was dried, chopped, and ground to allow the powdered fodder to pass through 1mm sieve. Following fodder quality traits were recorded: Nitrogen, NDF (neutral detergent fibre), ADF (acid detergent fibre) and in vitro organic matter digestibility (IVOMD-%) were estimated by Near-Infrared Spectroscopy (NIRS) calibrated against conventional wet laboratory analyses.





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Subject Agricultural Sciences
Sorghum
Days to fifty percent flowering
Plant height
Fresh stalk weight
Dry stalk weight
Grain weight
Neutral detergent fiber
Test Weight
Nitrogen dry matter basis
Acid detergent fiber
IVOMD- in vitro organic matter digestibility
Fodder
 
Language English
 
Contributor Dataverse, Administrator