Abstract:

【Objective】In this paper, the dominant distribution areas of strong gluten wheat were clarified in Shandong province, and the influence of key meteorological factors on its quality parameters was analyzed. 【Method】The high-quality strong-gluten wheat Jimai 44 was selected as the research material, and 296 samples were collected from 44 counties and districts in Shandong provincein the growing seasons of 2018 to 2020. The relationship of meteorological factors, such as light, temperature and water, in different growth periods with wheat quality parameters was analyzed byusing the method of stepwise regression. The geographic information system (GIS) was used for spatial visualization analysis, and the possible distribution of high-quality strong-gluten wheat advantageous areas was explored in Shandong province. 【Result】There were differences in the performance of each quality parameter in the different regions in different years. The proportion of samples reaching the standard of strong gluten wasshown as maximum pull resistance> water absorption rate>bulk density>stabilize time>protein content>tensile area>wet gluten content in two years, and the coefficients of variation of quality parameters from large to small were stabilize time, tensile area, maximum pull resistance, wet gluten content, protein content, water absorption rate, and bulk density. The bulk density in western and northwestern Shandong was generally higher than that in other regions, and decreased with the increase of longitude, which was mainly related to the influence of rainfall during the rejuvenation-jointing period. The protein content was positively affected by the accumulated temperature ≥5℃ during the anthesis-milk maturity period, while increased from southwest to northeast in 2018-2019 and from northwest to southeast in 2019-2020. The wet gluten content was higher in the eastern Shandong region, which was significantly related to the high rainfall during the anthesis-milk maturity period in this region. The stabilize time was significantly negatively correlated with the maximum temperature during the jointing-anthesis period, and positively correlated with the rainfall during the sowing-overwintering period, and this affected it’s high value distribution and regional variation; the tensile area was significantly negatively correlated with the accumulated temperature ≥5℃ during the rejuvenation-jointing period, and gradually decreased from the west to the east of Shandong province. The maximum pull resistance was significantly negatively correlated with the accumulated temperature ≥5℃ during the anthesis-milk maturity period; it was low in the east-west direction and high in the middle area of Shandong province. Taking into account comprehensively, the high-quality probability of high-gluten wheat planting in eastern and southern Shandong province was stronger than that in central and northern, and the lowest in western. 【Conclusion】Eastern and southern regions were the optimal planting areas for strong-gluten wheat in Shandong province, with the greatest possibility of high quality. The high maximum temperature during rejuvenation-jointing period, jointing-anthesis period and grain-filling period was unfavorable to the rheological parameters of wheat dough, while the increase of effective accumulated temperature during anthesis-milk maturity period was beneficial to the increase of protein content. The rainfall during sowing-overwintering period was beneficial to the increase of dough stabilize time; when the rainfall was less than 14.5 mm during anthesis-milk maturity period, it was not beneficial for the wet gluten content to reach the strong gluten standard; the rainfall during the rejuvenation-jointing period is was not conducive to the increase of bulk density. Therefore, in the production of strong gluten wheat, it was suggested that irrigation should be carried out in the overwintering period and early grouting according to the weather conditions, and the irrigation time during rejuvenation-jointing period should be postponed as far as possible.

Key words: wheat quality parameters, meteorological factors, spatial distribution