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1. 分蘖成穗率是提高小麦籽粒产量、光合能力和氮效率的关键
DING Yong-gang, ZHANG Xin-bo, MA Quan, LI Fu-jian, TAO Rong-rong, ZHU Min, Li Chun-yan, ZHU Xin-kai, GUO Wen-shan, DING Jin-feng
Journal of Integrative Agriculture    2023, 22 (7): 2054-2066.   DOI: 10.1016/j.jia.2022.10.005
摘要255)      PDF    收藏

过去几十年来,品种改良提高了小麦籽粒产量和氮肥利用效率,因此,21世纪长江流域小麦品种的籽粒产量和氮肥利用效率均高于先前的品种。但更高籽粒产量和氮肥利用效率的性状和机制还不清楚。为了探索这些新品种更高的籽粒产量和氮肥利用效率机制。本研究于2016-2019年连续3个生长季选择21个当地小麦品种进行栽培。三年度籽粒产量和氮肥利用效率均呈显著正相关关系。这些品种被分为高产高效、中产中效和低产低效类型(分别缩写为HH、MM和LL)。HH类型具有显著高的籽粒产量和氮肥利用效率。高产是由于通过高分蘖成穗率增加了有效穗数以及高花后单茎生物量增加了单穗产量。与其他类型相比,HH具有更强的花后叶面积持绿能力和更高的剑叶净光合速率。更高的花前氮素积累量增加了花前单茎氮素积累,包括茎鞘、叶片和单位叶面积,并且提高了氮肥吸收效率,这也是氮肥利用效率提高的主要原因。此外,分蘖成穗率与单茎氮素积累量、单位叶面积氮素积累量、叶片持绿能力和剑叶净光合速率均显著相关,表明,提升分蘖成穗率促进了氮素吸收、叶片氮素积累量和光合能力,从而实现籽粒产量和氮肥利用效率的协同提升。因此,分蘖成穗率被认为是一个可以用来品种选育和管理,以提高农业效率和可持续性的重要核心指标

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2. Detection and enumeration of wheat grains based on a deep learning method under various scenarios and scales
WU Wei, YANG Tian-le, LI Rui, CHEN Chen, LIU Tao, ZHOU Kai, SUN Cheng-ming, LI Chun-yan, ZHU Xin-kai, GUO Wen-shan
Journal of Integrative Agriculture    2020, 19 (8): 1998-2008.   DOI: 10.1016/S2095-3119(19)62803-0
摘要145)      PDF    收藏
Grain number is crucial for analysis of yield components and assessment of effects of cultivation measures.  The grain number per spike and thousand-grain weight can be measured by counting grains manually, but it is time-consuming, tedious and error-prone.  Previous image processing algorithms cannot work well with different backgrounds and different sizes.  This study used deep learning methods to resolve the limitations of traditional image processing algorithms.  Wheat grain image datasets were collected in the scenarios of three varieties, six background and two image acquisition devices with different heights, angles and grain numbers, 1 748 images in total.  All images were processed through color space conversion, image flipping and rotation.  The grain was manually annotated, and the datasets were divided into training set, validation set and test set.  We used the TensorFlow framework to construct the Faster Region-based Convolutional Neural Network Model.  Using the transfer learning method, we optimized the wheat grain detection and enumeration model.  The total loss of the model was less than 0.5 and the mean average precision was 0.91.  Compared with previous grain counting algorithms, the grain counting error rate of this model was less than 3% and the running time was less than 2 s.  The model can be effectively applied under a variety of backgrounds, image sizes, grain sizes, shooting angles, and shooting heights, as well as different levels of grain crowding.  It constitutes an effective detection and enumeration tool for wheat grain.  This study provides a reference for further grain testing and enumeration applications.
 
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3. Yield Evaluation of Twenty-Eight Alfalfa Cultivars in Hebei Province of China
ZHANG Tie-jun, KANG Jun-mei, GUO Wen-shan, ZHAO Zhong-xiang, XU Yu-peng, YAN Xudong , YANG Qing-chuan
Journal of Integrative Agriculture    2014, 13 (10): 2260-2267.   DOI: 10.1016/S2095-3119(13)60576-6
摘要1447)      PDF    收藏
Cultivar selection is important for alfalfa (Medicago sativa L.) hay production. From 2009 to 2012, a field study was conducted to evaluate the dry matter yield (DMY) of 28 cultivars in Cangzhou District of Hebei province, China, and to determine the most suitable cultivars for this province and other zones with similar climate conditions. 28 alfalfa cultivars were sown in late March of 2009 and were harvested for hay four times in each subsequent year. The results showed that the climatic conditions resulted in significant differences in annual DMY among years, with the second year being the highest and the first year the lowest. The top five cultivars with the highest total DMY were L2750 (62.75 t ha-1), Horn (62.72 t ha-1), 86-266 (61.55 t ha-1), German (61.44 t ha-1) and Zhongmu 1 (61.18 t ha-1), respectively. Across all four years, first harvest had the highest ratios to annual DMY except the cultivar of Rambler, while the fourth harvest had the lowest ratio. There were positive correlation relationships between DMY of each harvest and annual DMY, and the correlation coefficients were all significant in four years. And the path coefficients of first harvest were always the highest in four years. The qualities showed small variations among these cultivars and the cultivar L3750 presented the highest crude protein in both years. Crude protein had significant positive correlation with relative feed value (RFV) in both years while crude fiber had significant negative correlation with RFV and crude fiber.
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4. Effects of Elevated Ozone Concentration on Starch and Starch Synthesis Enzymes of Yangmai 16 Under Fully Open-Air Field Conditions
ZHANG Ru-biao, HU Hai-juan, ZHAO Zheng, YANG Dan-dan, ZHU Xin-kai, GUO Wen-shan
Journal of Integrative Agriculture    2013, 12 (12): 2157-2163.   DOI: 10.1016/S2095-3119(13)60345-7
摘要1237)      PDF    收藏
O3 is not only greenhouse gas but also a primary gaseous contaminant in the atmosphere. It has long-lasting effects on crop growth, yield and quality, and brings a series of ecological and environmental problems. A free-air controlled enrichment (FACE) system was applied to study the effect of elevated ozone concentration on activities of key enzymes of starch synthesis of Yangmai 16 in 2009-2010. The main-plot treatment had two levels of O3: ambient level (A-O3) and 50% higher than ambient level (E-O3). The main results were that accumulation rate of amylose, amylopectin and starch were represented in a single peak curve, and their content and accumulation amount rose gradually. The O3 elevation decreased the accumulation rate of amylose, amylopectin and starch amylase, reduced the accumulation amount of amylopectin and starch, and decreased the content of amylopectin and starch, but increased the content of amylose. With the increase of O3 concentration, the enzyme activity of grain granule-bound starch synthase (GBSS), soluble starch synthase (SSS) and starch branching enzyme (SBE) decreased after anthesis. The activities of GBSS and SSS had highly significant correlations with amylose, amylopectin and starch accumulation rate, and the activity of SBE had significant correlations with these items. So the O3 elevation decreased the activity of key enzymes of starch synthesis, which led to the variation of starch synthesis.
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5. Responses of Phosphorus Use Efficiency, Grain Yield, and Quality to Phosphorus Application Amount of Weak-Gluten Wheat
ZHU Xin-kai, JIANG Zong-qing, FENG Chao-nian, GUO Wen-shan, PENG Yong-xin
Journal of Integrative Agriculture    2012, 12 (7): 1103-1110.   DOI: 10.1016/S1671-2927(00)8635
摘要1748)      PDF    收藏
Phosphorus (P) is one of the most widely occurring nutrients for development and growth of wheat. In this study; the effects of P application amount on grain yield; protein content; and phosphorus use efficiency (PUE) were studied by agronomic management of P fertilizer on spring weak-gluten wheat (Triticum aestivum L.) grown under field conditions for  yr. The experiments were performed at five levels of PO application amount; including ; ; ; ; and  kg ha-. As a result; with increase in P fertilizer; grain yield; and P agricultural efficiency (AEP) increased in a quadratic equitation; but partial factor productivity of P (PFPP) decreased in a logarithmic eq. When  kg ha- PO was applied; the grain yield reached the highest level; but the protein content in gain was lower than .%; a threshold for the protein content to evaluate weak-gluten wheat suitable for production of cake and biscuit. Yangmai  and Ningmai  could tolerate to higher P level of soils than Yangmai  that had more loss in grain yield when P fertilizer was over-applied. AEP had a concomitant relationship with grain yield and was a better descriptor for P use efficiency in the wheat. A high P use efficiency resulted in leaf area index (LAI); increased chlorophyll content and photosynthetic rate; and stable acid phophatase (APase) activity to accumulate more dry matter after anthesis; which explained that the optimum P fertilizer increased grain yield and improved grain quality of weak-gluten wheat.
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