Zobrazeno 1 - 10
of 70
pro vyhledávání: '"M. M. Deshmukh"'
Publikováno v:
International Journal of Research -GRANTHAALAYAH. 9:48-60
Root rot disease caused by M. is the major disease in mulberry. The study was conducted in 50 mulberry gardens covering 15 villages during the year 2012-13 by adopting random sampling method. The present survey was taken up in the viz., Coimbatore, E
Autor:
K. P. Bhangale, M. M. Deshmukh
Publikováno v:
International Journal of Innovations in Engineering and Science. 6:1-7
Publikováno v:
International Journal of Current Microbiology and Applied Sciences. 9:898-903
Publikováno v:
Climate Change Impact on Groundwater Resources ISBN: 9783031047060
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d6a8b022b44a584ad54648a17edaed6
https://doi.org/10.1007/978-3-031-04707-7_2
https://doi.org/10.1007/978-3-031-04707-7_2
Publikováno v:
AGRICULTURE UPDATE. 12:995-1001
Publikováno v:
AN ASIAN JOURNAL OF SOIL SCIENCE. 11:332-336
Field experiment framed in a Randomized Block Design was conducted to assess the impact of polyethylene mulch on soil temperature and yield of drip irrigated bitter gourd during 2015-16 in the Department of Irrigation and Drainage Engineering Dr. PDK
Autor:
M. M. Deshmukh .
Publikováno v:
International Journal of Research in Engineering and Technology. :35-41
Publikováno v:
INTERNATIONAL JOURNAL OF PLANT SCIENCES. 11:203-206
Field experiment on morpho-physiological evaluation of wheat variety AKAW-4627 grown under different irrigation schedules was conducted during Rabi 2012-13 and 2013-14 at Wheat Research Unit, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola. An experi
Publikováno v:
ASIAN JOURNAL OF ENVIRONMENTAL SCIENCE. 10:150-155
Climate warming observed over the past several years is consistently associated with changes in a number of components of the hydrological cycle. Precipitation is one of the important component of this cycle. Changes in mean and extreme values of pre
Publikováno v:
INTERNATIONAL JOURNAL OF AGRICULTURAL ENGINEERING. 8:1-8
The study has been undertaken to predict one month ahead ETo using artificial neural networks (ANNs). Climatic parameters for 35 years (1977-2011) were collected for Akola station. The ETo was estimated by using standard Penman-Monteith method which