For all crop species, an accurate, quick, and simple method for determination of mean development stage of plants has a key role for scientific and practical use. The investigation was performed to validate a modified methodology for determination of mean stage of development in alfalfa (Medicago sativa L.). The modified methodology, mean stage by fresh weight (MSFW), assumes that mean stage by weight (MSW) could be determined by fresh, and not only by dry weight, as was required by the original methodology. A total of 198 alfalfa samples were collected in 2010 and 2011. Sampling completely covered three growth cycles: spring growth and first and second regrowths. The correlation (r) between MSW and MSFW was >0.99. In 92% of samples, absolu...
Several authors have shown that fiber levels can be predicted from plant height and maximum maturity...
The study of readily measurable agronomic traits which may estimate total dry matter production and ...
Several authors have shown that fiber levels can be predicted from plant height and maximum maturity...
The aim of the current work was to investigate the possibility of modifying the existing mean stage ...
This study was conducted to investigate the response of seedlings of nine alfalfa cultivars (belongi...
Predictive equations for alfalfa (Medicago sativa L.) quality (PEAQ) based on length of the longest ...
Predictive equations for alfalfa (Medicago sativa L.) quality (PEAQ) based on length of the longest ...
In order to determine the best seed vigor test in laboratory which may provide high correlation betw...
In order to determine the best seed vigor test in laboratory which may provide high correlation betw...
Alfalfa is the most valuable forage crop spread all over the world. Due to the varietal diversity of...
Every spring, alfalfa growth and development differs due to variations in climatic, variety, stand a...
Every spring, alfalfa growth and development is different due to variations in climatic, variety, st...
Alfalfa is the most important forage legume in the production of voluminous fodder. Although not pri...
Introduction Current study tries to find a new simple and practical real-time technique to estimat...
This research was conducted to determine performances of seven alfalfa cultivars with different fall...
Several authors have shown that fiber levels can be predicted from plant height and maximum maturity...
The study of readily measurable agronomic traits which may estimate total dry matter production and ...
Several authors have shown that fiber levels can be predicted from plant height and maximum maturity...
The aim of the current work was to investigate the possibility of modifying the existing mean stage ...
This study was conducted to investigate the response of seedlings of nine alfalfa cultivars (belongi...
Predictive equations for alfalfa (Medicago sativa L.) quality (PEAQ) based on length of the longest ...
Predictive equations for alfalfa (Medicago sativa L.) quality (PEAQ) based on length of the longest ...
In order to determine the best seed vigor test in laboratory which may provide high correlation betw...
In order to determine the best seed vigor test in laboratory which may provide high correlation betw...
Alfalfa is the most valuable forage crop spread all over the world. Due to the varietal diversity of...
Every spring, alfalfa growth and development differs due to variations in climatic, variety, stand a...
Every spring, alfalfa growth and development is different due to variations in climatic, variety, st...
Alfalfa is the most important forage legume in the production of voluminous fodder. Although not pri...
Introduction Current study tries to find a new simple and practical real-time technique to estimat...
This research was conducted to determine performances of seven alfalfa cultivars with different fall...
Several authors have shown that fiber levels can be predicted from plant height and maximum maturity...
The study of readily measurable agronomic traits which may estimate total dry matter production and ...
Several authors have shown that fiber levels can be predicted from plant height and maximum maturity...