BSU bulletin. Biology, geography
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THE POTENTIAL PRODUCTIVITY OF THE VARIETIES OF SPRING OATS BURATSKI BREEDING IN CONDITIONS OF ARIDIZATION // BSU bulletin. Biology, geography. - 2020. №2. . - С. 14-20.
Title:
THE POTENTIAL PRODUCTIVITY OF THE VARIETIES OF SPRING OATS BURATSKI BREEDING IN CONDITIONS OF ARIDIZATION
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The results of a comparative study of the yield of oat varieties zoned in different years of
innorayona selection: Udych-Zhulty, Nemchinovsky‑2, Selma; varieties bred in the Buryat
research Institute of agriculture: Dogoy, Barguzin, Geser, Mergen and the prospective selection
number Tamir SP‑502. Variety testing was carried out in the conditions of the dry-steppe zone
of Buryatia in bogarny conditions without the use of mineral fertilizers. The influence of climate
factors on oat grain productivity was studied by conducting dispersion and correlation-regression
analyses. It was found that the most significant impact on the oat grain yield in the conditions
of the dry steppe of Transbaikalia was caused by moisture conditions in two critical periods: in
the first thirty days from the time of sowing (r = 0.96 … 0.99) and the amount of precipitation
in August (r = 0.80…0.86). The greatest influence on the formation of the grain harvest was the
amount of precipitation that fell during the first critical period. Lack of moisture led to thinning
of seedlings and laying a shortened panicle. Precipitation that falls at a later time causes the
appearance of a second wave of oat seedlings, which develop according to the type of fit and
do not have time to form a full-fledged grain by the time of harvesting. Moisture conditions in
the second critical period, during the formation and filling of grain had a much smaller effect
on the crop than the precipitation of spring and early summer. On average, during the research
period, the productivity of the prospective Tamir number (SP‑502) was the highest, exceeding
the Doga standard by 18.2%, and over other middle — aged varieties by 6.7–25.0%.
Keywords:
spring oats, grain yield, variety testing regression model.
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