نتایج جستجو برای: cicer aritinum l

تعداد نتایج: 618663  

Journal: :International Journal of Current Microbiology and Applied Sciences 2020

Journal: :ADVANCE RESEARCH JOURNAL OF CROP IMPROVEMENT 2016

2015
H. Golpira

Harvesting rain-fed chickpeas (Cicer arietinum L.) from fallow fields in developing countries is currently a manual process performed by laborers in a tedious manner at a low level of efficiency. A tractor-pulled harvester was built in which a chain conveyor transfer harvested material. A tractor-mounted harvester was then redesigned, which incorporated a modified stripper header to detach pods...

2005
B. M. Sindel S. Adkins J. Hanan

The crop chosen for this study is chickpea (Cicer arietinum L.) as the fourth most important legume in Australian agriculture (FAOSTAT 2004). One of the major obstacles in growing this crop is its poor competitive ability with weeds, which leads to significant reductions in yield. The best method to control weeds in crops such as chickpea is through the use of integrated weed management (IWM). ...

Journal: :Applied and environmental microbiology 1985
B Kraft W Barz

Strains of Ascochyta rabiei which are pathogenic to chickpea (Cicer arietinum L.) readily catabolized the main chickpea isoflavone biochanin A (5,7-dihydroxy-4'-methoxyisoflavone). 3'-Hydroxylation and O-demethylation reactions led to the isoflavones pratensein, genistein, and orobol, which were rapidly further degraded. Dihydrogenistein and p-hydroxyphenylacetic acid were also identified as ca...

2007
MARK D. LAZZARO W. THOMSON

LAZZARO, M. D., and THOMSON, W. W. 1989. Ultrastructure of organic acid secreting trichomes of chickpea (Cicer arietinum). Can. J. Bot. 67: 2669-2677. The acid-secreting trichomes of chickpea (Cicer arietinum L.) were composed of 18 cells, including 1 basal cell, 3 elongate stalk cells, and 14 head cells. A subcuticular secretion chamber with cuticular pores was present above the head cells at ...

2003
Rajat Gupta B. V. L. Narayana P. Krishna Reddy G. V. Ranga Rao C. L. L. Gowda Y. V. R. Reddy Garimella Rama Murthy

Insect pests are a major cause of crop loss globally. Pest management will be effective and efficient if we can predict the occurrence of peak activities of a given pest. Research efforts are going on to understand the pest dynamics by applying analytical and other techniques on pest surveillance data sets. In this study we make an effort to understand pest population dynamics using Neural Netw...

Journal: :Boletim do Centro de Pesquisa de Processamento de Alimentos 2009

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