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1.
因山东省旱作灌溉区种植模式多样、技术模式不统一,规模化生产下的机械效能未能充分发挥,存在动力机械与机具配套比低、农机动力与资金浪费问题,在对小麦玉米周年轮作下全程机械化技术模式调研后,总结小麦玉米全程机械化技术路线,构建以作业成本最小为目标的农机装备优化配备模型。通过对平度市某小麦玉米种植合作社进行计算,作业成本较实际情况下降10.9%;总动力优化配备结果为23.712 kW,下降51.36%;农机配套比提高50%。研究结果可为山东省旱作灌溉区小麦玉米全程机械化技术模式优选、农机农艺深度融合、农业合作社的农机配备等方面提供技术参考。 相似文献
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为了解中国不同麦区小麦种质资源籽粒脂肪氧化酶(lipoxygenase,LOX)活性相关基因TaLox-B1的差异和分布,利用小麦4B染色体上的功能标记LOX16和LOX18对7个麦区的436份种质资源进行分子检测。结果表明:在供试材料中共检测到3种TaLox-B1基因等位变异类型,分别为TaLox-B1a(与高LOX活性相关)、TaLox-B1b(与低LOX活性相关)和杂合型,其频率分别为19.0%、70.4%和10.6%。小麦LOX活性基因不同变异类型在各生态区的分布存在明显差异:基因型TaLox-B1a在黄淮冬麦区、北部冬麦区和长江中下游冬麦区分布较多,其比例分别为21.1%、19.8%和17.6%;基因型TaLox-B1b在西南冬麦区和长江中下游冬麦区分布较多,比例分别为87.9%、72.5%;杂合型仅存在于北部冬麦区、黄淮冬麦区与长江中下游冬麦区,比例分别为14.2%、12.4%和9.8%。利用标记LOX16和LOX18对53个自选高代品系进行分子检测,发现自选品系仅有TaLox-B1b与杂合型两种基因型,其中基因型TaLox-B1ab有32个,比例为60.4%。采用分子标记辅助选择,有利于快速鉴定小麦籽粒LOX活性,加速LOX的遗传改良和新品种选育。 相似文献
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为了给内蒙古高原紫花苜蓿(Medicago sativa L.)测土施氮奠定科学基础,本研究采用“零散实验数据整合法”和“养分平衡-地力差减法”新应用公式,开展了该自然区域紫花苜蓿土壤氮素丰缺指标和推荐施氮量研究。结果表明:内蒙古高原生长第1年紫花苜蓿土壤碱解氮第1~6级丰缺指标为≥48,20~48,8~20,4~8,2~4和<2 mg·kg-1,土壤全氮第1~5级丰缺指标为≥1.4,0.8~1.4,0.4~0.8,0.2~0.4和<0.2 g·kg-1,土壤有机质第1~6级丰缺指标为≥17,10~17,6~10,3~6,2~3和<2 g·kg-1。当紫花苜蓿目标产量9~18 t·hm-2、氮肥利用率40%时,内蒙古高原紫花苜蓿第1~6级土壤推荐施氮量分别为0,68~135,135~270,203~405,270~540和338~675 kg·hm-2。 相似文献
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利用祁连圆柏整株生物量与生长指标数据,为估算祁连圆柏林的生物量估算提供参考。通过野外调查,共获取了63株祁连圆柏天然林样木生物量与生长指标实测数据。用其中50株样木数据进行回归模拟,用其余的13株样木数据对模型可靠性进行检验,构建器官生物量与生长指标间的回归模型。结果表明,祁连圆柏单木水平下,树干生物量模型的R2adj为0.96,均方根、模型有效性和残差系数分别为0.50、0.85和0.05;枝条生物量模型的R2adj为0.897,均方根、模型有效性和残差系数分别为0.69、0.80和-0.66;叶生物量模型的R2adj为0.61,均方根、模型有效性和残差系数分别为0.54、0.86和0.15;根生物量模型的R2adj为0.93,均方根、模型有效性和残差系数分别为0.12、0.997 和-0.01。在调查数据范围内构建的模型较好地反映了祁连圆柏生物量与生长指标间的关系,形式简单、使用方便;与实测值相比,树干与叶生物量模拟值偏小,枝和根偏大。 相似文献
6.
为探明长江中游玉米籽粒机械直收适宜品种与配套农艺措施,2018—2019年选用不同玉米品种,测定不同机收时间下玉米关键农艺性状、产量及机收质量指标。结果表明,收获时间对春玉米机收产量与机收质量均有显著影响。延迟1周收获后籽粒容重显著增加,机收产量显著提高,2年平均提高9.72%;而延迟2周收获则有降低机收产量的趋势。2年收获时杂质率总体≤3%,而机收籽粒破碎率与损失率均>5%,是该区域春玉米籽粒机收面临的主要问题。籽粒厚度、籽粒含水率和百粒重是影响机收籽粒破碎率的关键性状,三者与机收籽粒破碎率均呈显著的倒二次曲线关系;玉米的倒伏率、穗位高和重心高度是影响机收损失率的关键性状,倒伏率与机收损失率呈显著正相关,而穗位高和重心高度与机收损失率均呈显著的二次曲线关系。延迟收获能显著降低籽粒含水量,从而降低籽粒破碎率,但继续延迟收获有增加倒伏的风险。综上,长江中游春玉米成熟后适时延迟7~10 d收获,可有效降低籽粒含水量与机收籽粒破碎率,提高玉米籽粒机收产量。 相似文献
7.
Exogenous application of allelopathic water extracts helps improving tolerance against terminal heat and drought stresses in bread wheat (Triticum aestivum L. Em. Thell.) 下载免费PDF全文
M. Farooq F. Nadeem M. Y. Arfat M. Nabeel S. Musadaq S. A. Cheema A. Nawaz 《Journal of Agronomy and Crop Science》2018,204(3):298-312
The allelopathic water extracts (AWEs) may help improve the tolerance of crop plants against abiotic stresses owing to the presence of the secondary metabolites (i.e., allelochemicals). We conducted four independent experiments to evaluate the influence of exogenous application of AWEs (applied through seed priming or foliage spray) in improving the terminal heat and drought tolerance in bread wheat. In all the experiments, two wheat cultivars, viz. Mairaj‐2008 (drought and heat tolerant) and Faisalabad‐2008 (drought and heat sensitive), were raised in pots. Both wheat cultivars were raised under ambient conditions in the wire house till leaf boot stage (booting) by maintaining the pots at 75% water‐holding capacity (WHC). Then, managed drought and heat stresses were imposed by maintaining the pots at 35% WHC, or shifting the pots inside the glass canopies (at 75% WHC), at booting, anthesis and the grain filling stages. Drought stress reduced the grain yield of wheat by 39%–49%. Foliar application of AWEs improved the grain yield of wheat by 26%–31%, while seed priming with AWEs improved the grain yield by 18%–26%, respectively, than drought stress. Terminal heat stress reduced the grain yield of wheat by 38%. Seed priming with AWEs improved the grain yield by 21%–27%; while foliar application of AWEs improved the grain yield by 25%–29% than the heat stress treatment. In conclusion, the exogenous application of AWEs improved the stay green, accumulation of proline, soluble phenolics and glycine betaine, which helped to stabilize the biological membranes and improved the tolerance against terminal drought and heat stresses. 相似文献
8.
Sheng-cai QIANG Fu-cang ZHANG Miles Dyck Yan ZHANG You-zhen XIANG Jun-liang FAN 《农业科学学报》2019,18(10):2369-2380
Excessive use of nitrogen(N) fertilizers in agricultural systems increases the cost of production and risk of environmental pollution. Therefore, determination of optimum N requirements for plant growth is necessary. Previous studies mostly established critical N dilution curves based on aboveground dry matter(DM) or leaf dry matter(LDM) and stem dry matter(SDM), to diagnose the N nutrition status of the whole plant. As these methods are time consuming, we investigated the more rapidly determined leaf area index(LAI) method to establish the critical nitrogen(N_c) dilution curve, and the curve was used to diagnose plant N status for winter wheat in Guanzhong Plain in Northwest China. Field experiments were conducted using four N fertilization levels(0, 105, 210 and 315 kg ha-1) applied to six wheat cultivars in the 2013–2014 and 2014–2015 growing seasons. LAI, DM, plant N concentration(PNC) and grain yield were determined. Data points from four cultivars were used for establishing the N_c curve and data points from the remaining two cultivars were used for validating the curve. The N_c dilution curve was validated for N-limiting and non-N-limiting growth conditions and there was good agreement between estimated and observed values. The N nutrition index(NNI) ranged from 0.41 to 1.25 and the accumulated plant N deficit(N_(and)) ranged from 60.38 to –17.92 kg ha~(-1) during the growing season. The relative grain yield was significantly affected by NNI and was adequately described with a parabolic function. The N_c curve based on LAI can be adopted as an alternative and more rapid approach to diagnose plant N status to support N fertilization decisions during the vegetative growth of winter wheat in Guanzhong Plain in Northwest China. 相似文献
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Effect of heat-moisture treatment on quality properties of two bread wheats (cvs. Tosunbey and Bayraktar) were investigated by using response surface methodology (RSM). Temperature and moisture conditions in the experimental design were in the range of 55–95 °C and 13–19%. Heat-moisture treated grains were milled into flour and quality properties were determined. The optimum moisture-temperature combination for the highest dry gluten, Zeleny sedimentation, Alveograph W and bread volume values were estimated as 14%-63 °C for Tosunbey and 19%-55 °C for Bayraktar samples. Alveograph W seems to be a good indicator of baking quality for wheats treated at higher temperatures. In order to describe the relationship between the dependent and independent variables (moisture, temperature), the response values were fitted by second order polynomial models. Significance analysis showed that the effect of both moisture and temperature on dry gluten content, sedimentation and falling number values for Tosunbey; falling number and damaged starch values for Bayraktar were significant (p < 0.05). The effect of temperature on Farinograph water absorption, W and P/G, bread volume and firmness values were significant for both cultivars (p < 0.05). It can be concluded that improvement in baking quality can be achieved and flours with different properties can be produced by heat-moisture treatments on wheat. 相似文献