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Emergence, Early Growth, and Community Dynamics of Key Rice Weeds in California in Variable Irrigation Systems: Impacts on System Productivity and Yield Losses.

机译:可变灌溉系统中加利福尼亚主要水稻杂草的出现,早期生长和群落动态:对系统生产力和产量损失的影响。

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摘要

Rice is one of our most important crops, providing 20% of global annual consumed calories. It is the staple grain for about half of the world's population. Grown in a variety of agroecosystems, ranging from lowland irrigated to upland rainfed, it is second only to wheat in hectares planted worldwide. Irrespective of location or farming system, weeds are the greatest biological constraint to yield. Farmer inputs of both labor and capital towards weed management are high, and are expected to increase as herbicide resistance continues to spread worldwide.;In California, rice is grown on approximately 200,000 hectares in the state's central valley. The majority of the acreage has been grown under continuously flooded irrigation since the start of commercial rice culture in the state in 1912, and as a result, weeds have become highly adapted to this anaerobic system. Herbicide resistance was first discovered in 1993 in two weed species with resistance to acetolactate synthase (ALS) inhibiting herbicides. Since then, another nine species have evolved resistance to an additional four modes of action. Coupled with the spread of herbicide resistance is increasing pressure to reduce water usage, both due to a statewide drought, as well as from the public, which perceives rice to be a heavy water user.;The overall objective of the first study was to understand the impacts of alternative irrigation systems on weed community dynamics. Three irrigation systems were evaluated: 1) a conventional water-seeded control (WS-Control) with a permanent flood of 10-15 cm from planting until one month prior to harvest; 2) WS-alternate wet and dry (WS-AWD) which was flooded from planting until canopy closure after which flood water was allowed to subside and the field re-flooded when the soil volumetric water content (VWC) reached 35%; and 3) drill-seeded AWD (DS-AWD) where rice was drill-seeded, then flush irrigated to establish the crop after which it was flooded until canopy closure and then underwent AWD similar to WS-AWD. The results indicate that there are significant changes in weed community composition both between irrigation systems as well as within irrigation systems over time. The most significant impacts are the increase in smallflower umbrella sedge (Cyperus difformis L.) populations under the WS-AWD system when compared to the continuously flooded system, as well as the large increase in the watergrass species ( Echinochloa (L.) Beauv. spp.) under the DS-AWD system. Since both smallflower umbrella sedge and watergrass are known to have herbicide resistant populations in California, this may restrict the adoption of the proposed alternative irrigation systems by farmers.;The second study evaluates the predictive capability of two yield loss models in naturally occurring mixed-weed species infestations in rice. The models were calibrated at the California Rice Experiment Station in 2013-2014, and then validated over two years at four sites. A relative cover assessment at rice canopy closure was used as the independent variable, and the weed species groups evaluated were the grasses, sedges, broadleaves, and all weeds combined. At the calibration site, grass cover alone was the best predictor in 2013, and grasses and sedge cover combined was the best predictor in 2014. Results of the model validation indicate that the relative cover of grasses and sedges combined was the best predictor of rice yield losses in five out of seven site-years.;The third study modifies a previously-developed population-based threshold model (PBTM) for multiple-herbicide resistant and susceptible late watergrass (Echinochloa phyllopogon (Stapff). Koss) to better predict emergence and early growth to the 1-leaf stage in rice under both continuously flooded and intermittent irrigation conditions. The model was modified using data on emergence under four burial depths (0.5 cm, 2 cm, 4 cm, and 6 cm) and three irrigation systems: 1) Daily flush (saturated soil); 2) Continuously flooded (anaerobic conditions); and 3) Intermittent flush (water-stressed conditions). Emergence of the resistant population was greater under the water-stressed conditions and emergence of both populations was negatively correlated with seed burial depth. Model fit of the field validation was best under the continuously flooded system, but the observed emergence in the field was biphasic, indicative of two separate emergence events. The model from this study only predicted the first emergence flush.
机译:稻米是我们最重要的农作物之一,提供全球每年消耗的热量的20%。它是世界约一半人口的主粮。从低地灌溉到高地雨养,它在各种农业生态系统中都有生长,在全世界种植的公顷数中仅次于小麦。无论位置或耕作制度如何,杂草都是产量的最大生物学限制。农民对杂草管理的劳动力和资本投入都很高,随着对除草剂的抗药性在世界范围内的传播,农民的投入预计会增加。在加利福尼亚州,中央谷地约有200,000公顷稻米。自从1912年该州开始商业化水稻种植以来,大部分农田都是在连续洪水的灌溉下种植的,结果,杂草已高度适应这种厌氧系统。除草剂抗性首次于1993年在两个对乙酰乳酸合酶(ALS)抑制性除草剂具有抗性的杂草物种中发现。从那时起,又有9个物种进化出对另外4种作用方式的抵抗力。伴随着除草剂耐药性的传播,由于州范围内的干旱以及公众的压力,减少水的使用的压力越来越大,这使大米被视为大量用水。第一次研究的总体目标是了解替代灌溉系统对杂草群落动态的影响。对三种灌溉系统进行了评估:1)常规水栽种对照(WS-Control),从种植到收获前一个月有10-15 cm的永久性洪水; 2)WS交替干湿(WS-AWD),从种植到盖层​​关闭都被淹没,此后让洪水消退,当土壤体积含水量(VWC)达到35%时,田野重新注水; 3)播种AWD(DS-AWD)的水稻,先将稻种播种,然后冲洗灌溉以建立农作物,然后将其淹没直到盖层关闭,然后进行与WS-AWD相似的AWD。结果表明,随着时间的推移,灌溉系统之间以及灌溉系统内部杂草群落组成均发生了显着变化。与连续淹水系统相比,WS-AWD系统下最重要的影响是小花伞莎草(Cyperus difformis L.)种群的增加,以及水草种类(Echinochloa(L.)Beauv。 spp。)。由于在加利福尼亚州已知小花伞莎草和草丛均具有抗除草剂种群,因此这可能会限制农民采用拟议的替代灌溉系统。;第二项研究评估了两种天然杂草中产量损失模型的预测能力水稻中的物种入侵。该模型于2013-2014年在加利福尼亚稻米实验站进行了校准,然后在四年中在四个地点进行了验证。水稻冠层关闭时的相对覆盖评估被用作自变量,所评估的杂草种类组为草,莎草,阔叶和所有杂草的总和。在标定点,仅草皮是2013年的最佳预测指标,草和莎草覆盖的组合是2014年的最佳预测指标。模型验证的结果表明,草和莎草的相对覆盖率是水稻产量的最佳预测指标每七个站点年中有五分之二的损失。在连续淹水和间歇灌溉条件下,水稻的早期生长到1-叶期。使用四种埋深(0.5 cm,2 cm,4 cm和6 cm)和三种灌溉系统下的出苗数据对模型进行了修改:1)每日冲洗(饱和土壤); 2)连续淹水(无氧条件); 3)间歇冲洗(在压力环境下)。在水分胁迫条件下,抗性种群的出现更大,两个种群的出现与种子埋藏深度呈负相关。在连续淹没的系统下,田间验证的模型拟合是最好的,但是在现场观察到的涌现是双相的,指示了两个单独的涌现事件。这项研究的模型仅预测了首次出现潮红。

著录项

  • 作者单位

    University of California, Davis.;

  • 授予单位 University of California, Davis.;
  • 学科 Agronomy.;Plant sciences.;Ecology.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 111 p.
  • 总页数 111
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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