Table 1: Variation in grain yield (kg ha-1) and above ground biomass (kg ha-1) with varied sowing dates
Table 2: Correlation coefficients (r) between grain yield and mean weather parameters
Table 3: Correlation coefficients (r) between above ground biomass and mean weather parameters
Table 4: Correlation coefficients (r) of grain yield and above ground biomass with accumulated weather parameters and agrometeorological indices
Table 5: Regression equations involving grain yield (kg ha-1) and agroclimatic parameters
Table 6: Regression equations for pre-harvest forecasting of grain yield and above ground biomass using agro-climatic factors of vegetative phase
Table 7: Regression equations for pre-harvest forecasting of grain yield and above ground biomass using agro-climatic factors of reproductive phase
Table 1: Variation in grain yield (kg ha-1) and above ground biomass (kg ha-1) with varied sowing dates
Table 2: Correlation coefficients (r) between grain yield and mean weather parameters
Table 3: Correlation coefficients (r) between above ground biomass and mean weather parameters
Table 4: Correlation coefficients (r) of grain yield and above ground biomass with accumulated weather parameters and agrometeorological indices
Table 5: Regression equations involving grain yield (kg ha-1) and agroclimatic parameters
Table 6: Regression equations for pre-harvest forecasting of grain yield and above ground biomass using agro-climatic factors of vegetative phase
Table 7: Regression equations for pre-harvest forecasting of grain yield and above ground biomass using agro-climatic factors of reproductive phase
Table 1: Variation in grain yield (kg ha-1) and above ground biomass (kg ha-1) with varied sowing dates
Table 2: Correlation coefficients (r) between grain yield and mean weather parameters
Table 3: Correlation coefficients (r) between above ground biomass and mean weather parameters
Table 4: Correlation coefficients (r) of grain yield and above ground biomass with accumulated weather parameters and agrometeorological indices
Table 5: Regression equations involving grain yield (kg ha-1) and agroclimatic parameters
Table 6: Regression equations for pre-harvest forecasting of grain yield and above ground biomass using agro-climatic factors of vegetative phase
Table 7: Regression equations for pre-harvest forecasting of grain yield and above ground biomass using agro-climatic factors of reproductive phase
Table 1: Variation in grain yield (kg ha-1) and above ground biomass (kg ha-1) with varied sowing dates
Table 2: Correlation coefficients (r) between grain yield and mean weather parameters
Table 3: Correlation coefficients (r) between above ground biomass and mean weather parameters
Table 4: Correlation coefficients (r) of grain yield and above ground biomass with accumulated weather parameters and agrometeorological indices
Table 5: Regression equations involving grain yield (kg ha-1) and agroclimatic parameters
Table 6: Regression equations for pre-harvest forecasting of grain yield and above ground biomass using agro-climatic factors of vegetative phase
Table 7: Regression equations for pre-harvest forecasting of grain yield and above ground biomass using agro-climatic factors of reproductive phase
Table 1: Variation in grain yield (kg ha-1) and above ground biomass (kg ha-1) with varied sowing dates
Table 2: Correlation coefficients (r) between grain yield and mean weather parameters
Table 3: Correlation coefficients (r) between above ground biomass and mean weather parameters
Table 4: Correlation coefficients (r) of grain yield and above ground biomass with accumulated weather parameters and agrometeorological indices
Table 5: Regression equations involving grain yield (kg ha-1) and agroclimatic parameters
Table 6: Regression equations for pre-harvest forecasting of grain yield and above ground biomass using agro-climatic factors of vegetative phase
Table 7: Regression equations for pre-harvest forecasting of grain yield and above ground biomass using agro-climatic factors of reproductive phase
Table 1: Variation in grain yield (kg ha-1) and above ground biomass (kg ha-1) with varied sowing dates
Table 2: Correlation coefficients (r) between grain yield and mean weather parameters
Table 3: Correlation coefficients (r) between above ground biomass and mean weather parameters
Table 4: Correlation coefficients (r) of grain yield and above ground biomass with accumulated weather parameters and agrometeorological indices
Table 5: Regression equations involving grain yield (kg ha-1) and agroclimatic parameters
Table 6: Regression equations for pre-harvest forecasting of grain yield and above ground biomass using agro-climatic factors of vegetative phase
Table 7: Regression equations for pre-harvest forecasting of grain yield and above ground biomass using agro-climatic factors of reproductive phase
Table 1: Variation in grain yield (kg ha-1) and above ground biomass (kg ha-1) with varied sowing dates
Table 2: Correlation coefficients (r) between grain yield and mean weather parameters
Table 3: Correlation coefficients (r) between above ground biomass and mean weather parameters
Table 4: Correlation coefficients (r) of grain yield and above ground biomass with accumulated weather parameters and agrometeorological indices
Table 5: Regression equations involving grain yield (kg ha-1) and agroclimatic parameters
Table 6: Regression equations for pre-harvest forecasting of grain yield and above ground biomass using agro-climatic factors of vegetative phase
Table 7: Regression equations for pre-harvest forecasting of grain yield and above ground biomass using agro-climatic factors of reproductive phase
People also read
Indigenous Bio-resource
Genetic Variability in Indigenous Brinjal Land Races of Dimapur District of Nagaland and their Traditional Cultivation Practices
Raktim Ranjan Bhagowati and Sapu Changkija
Brinjal, land races, Nagaland, variability, morphology, fruit types
Published Online : 07 Jun 2010
Research Article
Indigenous Knowledge on Rodent Management of the Ao-Nagas of Mokokchung District, Nagaland
Talisosang Amri and J. LongkumerIndigenous knowledge, rodent management, perceived effectiveness, Ao-Nagas
Published Online : 23 Oct 2018
Full article
Study of Socio-economic and Psychological Characteristics of Farmers towards Climate Change
Pankaj Kumar Meghwal, Rajkumar Josmee Singh, Muthu Lakshmi B., Inne Lego and Konjengbam Monika DeviClimate change, socio-economic, psychological, sampling
Published Online : 23 Apr 2018
Indigenous Bio-resource
Genetic Variability in Indigenous Brinjal Land Races of Dimapur District of Nagaland and their Traditional Cultivation Practices
Raktim Ranjan Bhagowati* and Sapu ChangkijaBrinjal, land races, Nagaland, variability, morphology, fruit types
Published Online : 07 Jun 2010
.jpg)
.jpg)
