Dry Matter Partitioning and Harvest Index Differ in Rice Genotypes with Variable Rates of Phosphorus and Zinc Nutrition

Phosphorus （P） and zinc （Zn） deficiencies are the major problems that decrease crop productivity under rice-wheat cropping system. Field experiments were conducted to investigate impacts of P （0, 40, 80 and 120 kg/hm^2） and Zn levels （0, 5, 10 and 15 kg/hm^2） on dry matter （DM） accumulation and partitioning, and harvest index of three rice genotypes ＇fine （Bamati-385） vs. coarse （F-Malakand and Pukhraj）＇ at various growth stages （tiliering, heading and physiological maturity）. The experiments were conducted at farmers＇ field at Batkhela in Northwestern Pakistan for two years in summer 2011 and 2012. The two year pooled data reveled that there were no differences in percent of DM partitioning into leaves and culms with application of different P and Zn levels, and genotypes at tillering. The highest P level （120 kg/hm^2） partitioned more DM into panicles than leaves and culms at heading and physiological maturity stages. The highest Zn level （15 kg/hm^2） accumulated more DM and partitioned more DM into panicles than leaves and culms at heading and physiological maturity stages. The hybrid rice （Pukhraj） produced and partitioned more DM into panicles than F-Malakand and Bamati-385 at heading and physiological maturity stages. Higher DM accumulation and greater amounts of partitioning into panicles at heading and physiological maturity stages was noticed with increase in P and Zn levels, and the increase was significantly higher in the coarse rice genotypes than fine. We concluded that the growing hybrid rice with application of 120 kg/hm^2 P ＋ 15 kg/hm^2 Zn not only increases total DM accumulation and partitioned greater amounts into the reproductive plant parts （panicles） but also results in higher harvest index.

Erect panicle super rice varieties enhance yield by harvest index advantages in high nitrogen and density conditions

The erect panicle （Ep） type is an important characteristic for japonica super rice in Northeast China and plays a significant role in enhancing yield. The Ep type is considered to be a genetic ideotype resource to the japonica super rice group by virtue of its agronomic advantages such as grain number per panicle and biomass. This study addresses the effects of nitrogen and planting density conditions on yielding performance regarding panicle type （PT） using the recombinant inbred line （RIL） population derived from the cross between an Ep variety Liaogeng 5 and non-Ep variety Wanlun 422. The genetics underlying the Ep type proved to be robust not only for panicle-type optimization but also plant height, panicle length, flag leaf length and seed density. We also found that regardless of nitrogen and density, correlation between harvest index （HI） and plant height was not significant in Ep type whatever the nitrogen and density. The application of Ep type provides a potential strategy for yield improvement by increasing biomass through HI maintainable in rice.

Contrasting Characteristics of Lodging Resistance in Two Super-Rice Hybrids Differing in Harvest Index

The“super rice”breeding program in China has been successful in developing high-yielding hybrids,including few with high harvest index values.However,there is limited information on the relationship between lodging resistance and harvest index,and the mechanisms underlying the relationship in super-rice hybrids.In this study,a two-year field experiment was conducted to compare lodging resistance and its related traits between two superrice hybrids differing in harvest index,i.e.,Guiliangyou 2(G2)with a high harvest index and Y-liangyou 1(Y1)with a typical harvest index of modern high-yielding rice varieties.Results showed that compared to Y1,G2 was lower in plant height due to its lower aboveground N uptake,and its higher stem breaking resistance(i.e.,lower stem breaking index)resulted from a lower stem height at its center of gravity.Consequently,G2 had a higher lodging resistance(i.e.,lower plant lodging index)than Y1.This study suggests that developing super-rice hybrids with high harvest index values is a possible way to achieve both high grain yield and strong lodging resistance in rice.

Screening and Application of Oilseed Rape Varieties with High Yield and High Harvest Index

28 oilseed rape Pol CMS three-line hybrid combinations diallel-crossed were compared in the yield and harvest index and analyzed on the correlation between the experimental yields and harvest indexes in this study. The correlation coeffcient was only 0.365 4, lower than a signifcant level, which indicated that there was no signifcant positive （or negative） correlation between the economic yields and the harvest indexes in oilseed rape. Among them, 8 hybrid combinations including 7 with a harvest index〉0.30 and one with a harvest index〈0.27 increased signifcantly in the yields compared with the control, and then were screened for production experiment. Under different cultivation methods, all the 8 combinations had a stable harvest index, and the combinations with higher harvest indexes also had a stable performance in yields. An oilseed rape variety Fengyou 737 with higher yield and harvest index selected through a further screening was grown with the harvest indexhigher than 0.33 whether transplanted or directly seeded in Yangtze River Basin Demonstration Area, demonstrating stable high yields as well as good ecological adaptability. The combination of yield and harvest index in the study is conducive to breeding a new oilseed rape variety with stable yields and good tolerance to close planting.

Effects of drip and flood irrigation on carbon dioxide exchange and crop growth in the maize ecosystem in the Hetao Irrigation District,China

Drip irrigation and flood irrigation are major irrigation methods for maize crops in the Hetao Irrigation District,Inner Mongolia Autonomous Region,China.This research delves into the effects of these irrigation methods on carbon dioxide(CO_(2))exchange and crop growth in this region.The experimental site was divided into drip and flood irrigation zones.The irrigation schedules of this study aligned with the local commonly used irrigation schedule.We employed a developed chamber system to measure the diurnal CO_(2)exchange of maize plants during various growth stages under both drip and flood irrigation methods.From May to September in 2020 and 2021,two sets of repeated experiments were conducted.In each experiment,a total of nine measurements of CO_(2)exchange were performed to obtain carbon exchange data at different growth stages of maize crop.During each CO_(2)exchange measurement event,CO_(2)flux data were collected every two hours over a day-long period to capture the diurnal variations in CO_(2)exchange.During each CO_(2)exchange measurement event,the biological parameters(aboveground biomass and crop growth rate)of maize and environmental parameters(including air humidity,air temperature,precipitation,soil water content,and photosynthetically active radiation)were measured.The results indicated a V-shaped trend in net ecosystem CO_(2)exchange in daytime,reducing slowly at night,while the net assimilation rate(net primary productivity)exhibited a contrasting trend.Notably,compared with flood irrigation,drip irrigation demonstrated significantly higher average daily soil CO_(2)emission and greater average daily CO_(2)absorption by maize plants.Consequently,within the maize ecosystem,drip irrigation appeared more conducive to absorbing atmospheric CO_(2).Furthermore,drip irrigation demonstrated a faster crop growth rate and increased aboveground biomass compared with flood irrigation.A strong linear relationship existed between leaf area index and light utilization efficiency,irrespective of the irrigation method.Notably,drip irrigation displayed superior light use efficiency compared with flood irrigation.The final yield results corroborated these findings,indicating that drip irrigation yielded higher harvest index and overall yield than flood irrigation.The results of this study provide a basis for the selection of optimal irrigation methods commonly used in the Hetao Irrigation District.This research also serves as a reference for future irrigation studies that consider measurements of both carbon emissions and yield simultaneously.

陇东旱塬区宜机收玉米品种的性状指标综合评价

目前玉米生产机械化程度越来越高,玉米籽粒机收将是大势所趋,因此人们对玉米品种的选择也趋向于耐密植、抗倒伏和籽粒脱水快等优良性状。为了筛选出陇东旱塬区适宜的籽粒机收玉米品种,通过灰色关联度分析法对引进的17个玉米品种表型性状和籽粒机收适宜性进行综合评价。结果表明,和恒5266产量高,但是机收表现不理想;迪卡159、先丰9号、先玉1483、五谷737和新农育6003等5个品种综合表现良好,可以作为陇东旱塬区籽粒机收玉米品种贮备品种加以推广,尤其是五谷737产量高、抗性好、机收表现好,宜大力推广种植。

不同夜间温度条件下外源水杨酸对大豆产量的调控作用

在全球气候变暖的背景下,夜间高温成为大豆高产的不利因素之一。水杨酸(Salicylic Acid,SA)是一种重要的植物激素,外源喷施SA可提升植物应对高温干旱等逆境的能力。为探究夜间高温危害的应对措施,选用2种生育期相近的大豆品种中黄39和中黄76,设置3个夜间温度(T1:18℃;T2:23℃;T3:28℃),每个夜间温度下设置3个SA浓度处理(SA0:CK;SA1:0.1 mmol·L^(-1) SA;SA2:0.5 mmol·L^(-1) SA)。探讨外源SA对鼓粒期夜间温度升高环境下大豆产量的调控作用。结果表明:与T1+CK处理相比,夜间温度升高,大豆单株荚数、单株粒数、地上部干物质、产量和收获指数均下降,中黄39和中黄76产量分别降低6.34%~27.13%和14.99%~45.66%。夜间温度升高,喷施SA可显著提高大豆净光合速率、地上部干物质、单株荚数和粒数,降低呼吸强度,使产量和收获指数显著提升,中黄39和中黄76表现一致。其中,28℃夜间温度条件下,喷施SA处理大豆产量增幅达45.69%~48.55%。研究结果表明,外施SA可以在一定程度上缓解夜间高温造成的大豆产量损失,提高收获指数。

蓖麻收获指数相关性状QTL定位及候选基因分析

为揭示蓖麻收获指数遗传规律及挖掘其候选基因,同时为蓖麻收获指数遗传改良提供参考,通过9048×16-201杂交组合构建了F_(2)和BC_(1)(F_(1)×P_(2))群体,利用完备区间作图法(ICIM-ADD)对收获指数及相关性状进行了表型性状研究及QTL定位,并利用S1群体对主效QTL簇进行验证。综合发现,收获指数与单株产量、单株蒴果数、单株粒数、主穗结实率、一级分枝穗结实率呈极显著正相关,与单株结实率、二级分枝穗结实率、单株百粒质量及单株有效穗数呈正相关,与生物量、根质量呈负相关;单株产量与其他性状间均呈正相关。在F_(2)/BC_(1)群体中共检测到收获指数及相关性状31/21个QTL,贡献率在1.64%~19.96%/0.90%~11.51%。共发现了4个增效等位基因来源于16-201的稳定QTL和5个主效QTL,其中的3个主效QTL(FqSRPS3-3、FqSRPBS3-3和BqSRSBS3-1)和2个稳定QTL(FqSRPS3-3/BqSRPS3-1、BqSRPBS3-1)聚拢在第3染色体的QTL-cluster1(RCM915~RCM950,997.10 kb)上,且在S1群体上再次检测到8个QTL-cluster1的等位QTL。因此,进一步在QTL-cluster1里,甄选了3个候选基因(Rc-US03g04790、Rc-US03g05640和Rc-US03g05810),它们在双亲多个组织中差异表达,每个候选基因在高表达亲本的相对表达量是低表达亲本的2.34~880.06倍,1.85~51.56倍和2.01~236.03倍。

最佳养分管理下我国花生磷需求特征

评价花生荚果产量和植株磷素需求,为高产花生的施肥管理提供理论指导。收集1990—2021年我国主要花生种植区的大量田间试验数据集(n=265),以评估在最佳施肥管理下花生的磷吸收特征。结果表明,在整个数据集中,平均花生荚果产量和收获指数(HI)分别为4642 kg/hm^(2)和0.54。花生荚果对磷(P)的平均需求量为6.45 kg/t。在<3、3~<4、4~<5、5~6和>6 t/hm^(2)5个荚果产量范围内,磷素吸收和HI均随荚果产量的增加而增加。磷需求量随着产量的增加而增加,这归因于在荚果产量高的情况下,秸秆磷的过量吸收。

生物炭类型和施用量对陕北黄绵土土壤理化性状和谷子生长的影响

【目的】探明不同生物炭类型和施用量对陕北黄绵土理化性状和谷子生长的影响。【方法】选取玉米秸秆(JG)、稻壳(DK)和竹竿(ZG)3种生物炭,分别设置C1(300 g/m^(2))、C2(600 g/m^(2))、C3(1200 g/m^(2))3个施炭水平,以不施生物炭为对照(CK),开展谷子室内模拟栽培试验,通过测定土壤理化指标和谷子生长指标,探究不同生物炭类型和施用量对陕北黄绵土土壤理化性状及谷子生长的影响。【结果】DK生物炭对土壤含水量和容重有显著的调控作用,DKC2处理的土壤含水量较JGC2和ZGC2处理分别显著下降15.78%、18.26%(P<0.05);DKC3处理的土壤容重较JGC3和ZGC3分别显著下降20.07%、24.63%(P<0.05);施ZG生物炭时,土壤有机碳、速效钾含量随生物炭施用量增加逐渐递增,ZGC3处理下,土壤有机碳、速效钾含量较CK分别显著提升134.35%、77.94%(P<0.05)。施JG生物炭时,谷子株高、地上部干重随生物炭施用量的增加先增后减,且JGC2处理下谷子株高、地上部干重较CK分别显著提升32.62%、77.13%(P<0.05),单穗粒重、总干重及小区产量较施DKC2、ZGC2处理分别显著提升126.18%、65.36%、57.54%和79.25%、82.46%%、50.37%(P<0.05)。施DK生物炭的谷子地下部干重、根表面积和根冠比随生物炭施用量的增加先增后减,DKC2处理谷子地下部干重、根表面积和根冠比较CK分别显著提升104.53%、90.30%、82.11%(P<0.05);ZGC3处理谷子收获指数较施DKC3显著提升50.00%(P<0.05)。【结论】不同生物炭类型及施用量对谷子的生长影响各异,600 g/m^(2)玉米秸秆生物炭处理更利于谷子干重的提升、600 g/m^(2)稻壳生物炭处理更利于谷子根系的生长、1200 g/m^(2)竹竿处理更利于谷子收获指数的提升。在陕北黄绵土中种植谷子,施玉米秸秆、竹竿生物炭具有较好的土壤水肥调节能力和增产增效作用。

内蒙古玉米宜机械粒收品种评价指标体系

【目的】建立内蒙古自治区玉米机械粒收品种评价指标体系,为内蒙古宜机械粒收玉米品种的评价、选择和适时收获提供依据,为品种选育指明方向。【方法】以极早熟到晚熟6个熟期组代表品种为试验材料,在内蒙古6个生态区同步进行机械粒收性状研究,于生理成熟期,生理成熟后10、20、30 d,测定籽粒破碎率、籽粒破损率、杂质率、籽粒含水率和植株倒伏倒折率,并选择适宜各生态区条件、机械粒收性状优良的品种鉴选机械粒收品种评价指标。【结果】玉米籽粒破碎率、籽粒破损率、杂质率与籽粒含水率均呈极显著正相关(P<0.01)。收获期玉米籽粒含水率与出苗至收获、吐丝至收获、成熟至收获的时间和积温均呈极显著负相关(P<0.01),且相关性依次增强。玉米籽粒脱水速率与基础含水率、日均温均呈极显著正相关(P<0.01);籽粒脱水速率(y)与基础含水率(x_(1))、日均温(x_(2))回归方程为y=-0.523318+0.022732x_(1)+0.025422x_(2),R^(2)=0.4192,P<0.01。玉米总产量损失率、落穗率与收获期植株倒伏倒折率呈极显著正相关(P<0.01),落粒率与收获期植株倒伏倒折率相关性不显著(P>0.05),玉米植株倒伏倒折率与株高、穗位高、穗位株高比、茎粗、茎粗株高比的相关性均不显著(P>0.05)。确立了宜机械粒收玉米品种评价的主次指标,涵盖3个层次,55个指标。【结论】建立了内蒙古自治区宜机械粒收玉米品种评价指标体系,该体系兼顾了各大生态区共性和区域个性,指标量化、易操作,其中籽粒破损率指标点明了玉米机械粒收过程中的不可见损失,对产量损失的评估更加全面。

Assessing the influence of harvesting intensities on structural diversity of forests in south-west Germany

Background: To increase ecosystem resilience and biodiversity, the maintenance and improvement of structural and compositional diversity of forests has become an important goal in forest management for many forest owners and jurisdictions. At the same time, future harvesting intensity (HI) may increase to meet the demand for woody biomass by an increasing bioeconomy sector. Yet, the influence of HI on forest structural diversity is largely unknown. Here, we address this issue by analyzing the relationship between HI and structural diversity based on large-scale national forest inventory (NFI) data, where the latter is quantified using a previously developed Forest Structure Index and HI is expressed as wood volume removal during the period 2002-2012 for the same inventory plots. Results: Our results show a surprisingly small impact of harvesting intensity on changes in structural diversity for most of the analysed types of forests. Only intense harvesting (> 80%-90% of initial growing stock) led to a significant reduction in structural diversity. At low to moderate HI most aspects of structural diversity were positively influenced. Only the quadratic mean DBH and the volume of large trees (≥ 40 cm DBH) were substantially negatively influenced at HI > 60% and 70% of initial growing stock, respectively. Conclusions: In several forest types, HI could be increased without a reduction in overall structural diversity. Hence, structural diversity in these selectively managed forests appears to be a very resistant forest property in relation to HI. Other indicators at stand and landscape scale may be needed to adjust levels of HI that are suited to maintain forest biodiversity.

Energy-Harvesting Systems for Green Computing

Energy harvesting technologies provide a promising alternative to battery-powered systems and create an opportunity to achieve sustainable computing for the exploitation of ambient energy sources. However, energy harvesting devices and power generators encompass a number of non-classical system behaviors or characteristics, such as delivering nondeterministic power density, and these would create hindrance for effectively utilizing the harvested energy. Previously, we have investigated new design methods and tools that are used to enable power adaptive computing and, particularly, catering non-deterministic voltage, which can efficiently utilize ambient energy sources. Also, we developed a co-optimization approach to maximize the computational efficiency from the harvested ambient energy. This paper will provide a review of these methods. Emerging technologies, such as 3D-IC, which would also enable new paradigm of green and high-performance computing, will be also discussed.

Meteorological Characteristics and Indices during Rice Harvest and Poor Harvest Years in Mudanjiang City

From the analysis of meteorological characteristics during rice harvest and poor harvest years in Mudanjiang City of Heilongjiang Province,meteorological indexes of heat,precipitation and sunlight in abundant years and deficient years were discussed to provide meteorological basis for predicting agricultural industry.The results indicated that in abundant year from May to September,the temperature was relatively higher,≥10 ℃ accumulated temperature was relatively more,without low temperature and cold damage,the distribution of precipitation was suitable for the farming season,without drought and waterlogging,the sunlight was sufficient,namely,the cooperation among heat,water and light was more coordinated.In deficient year,from May to September,during growing season,the temperature was relatively lower,accumulated temperature was relatively less,the distribution of precipitation was abnormal,drought or waterlogging,low temperature with little sunlight,and general meteorological conditions were unfavorable to agricultural industry.

Balancing timber production and habitat conservation of Okinawa Rails(Gallirallus okinawae): Application of a harvest scheduling optimization model in subtropical forest in Okinawa, Japan

Finding the right balance between timber production and the management of forest-dependent wildlife species,present a difficult challenge for forest resource managers and policy makers in Okinawa,Japan.A possible explanation of this can be found in the unique nature of the forest management area which is populated with various kinds of rare and endangered species.This issue has been brought to light as a result of the nomination of northern Okinawa Island in 2018 as a candidate for World Natural Heritage site.The nomination has raised public awareness to the possibility of conflicting management objectives between timber extraction and the conservation of habitat for forest-dependent wildlife species.Managing exclusively for one objective over the other may fail to meet the demand for both forest products and wildlife habitat,ultimately jeopardizing the stability of human and wildlife communities.It is therefore important to achieve a better balance between the objective of timber production and conservation of wildlife habitat.Despite the significance of this subject area,current ongoing discussions on how to effectively manage for forest resources,often lack scientific basis to make sound judgement or evaluate tradeoffs between conflicting objectives.Quantifying the effect of these forest management activities on wildlife habitat provides useful and important information needed to make forest management and policy decisions.In this study we develop a spatial timber harvest scheduling model that incorporates habitat suitability index(HSI)models for the Okinawa Rail(Gallirallus okinawae),an endangered avian species found on Okinawa,Japan.To illustrate how the proposed coupling model assembles spatial information,which ultimately aids the study of forest management effects on wildlife habitat,we apply these models to a forest area in Okinawa and conduct a simple simulation analysis.

机采棉种植模式下不同棉花品种适应性研究

明确各品种在机采棉种植模式下形态、生理及产量因子变化,为长江流域棉花机械化生产中品种选择提供理论基础。通过2018—2019年大田试验,以‘中棉所63F2’(杂交棉品种)低密度(4.5万株/hm^(2))为对照,研究‘中棉所63F2’和‘中棉所425’(常规早熟棉品种)、‘中棉所50’(常规早熟棉品种)等3个棉花品种在高密度(9.0万株/hm^(2))机采棉种植模式下的品种生育进程、农艺性状、干物质积累及产量变化。结果表明,各品种在机采棉种植模式下,其叶面积指数、干物质积累量、成铃数及产量均高于对照;‘中棉所63F2’单铃重、籽棉产量高于2个常规早熟棉花品种,但未达显著水平。常规早熟棉品种‘中棉所425’、‘中棉所50’成熟较早、集中成铃,适宜长江流域一年两熟模式下连茬种植。

Ideal Point Method Applied in Forest Harvest Regulation

Ideal point method is one of the methods to solve multi-objective problem. It is applied to forest harvest regu-lation, and showed very good results by analyzing changes of quantitative indexes of forest resource structure before andafter the regulation. This method can be applied as one of the mathematical tools in forest harvest regulation.

Effect of Lime and Phosphorus on Yield and Yield Components of Groundnut Varieties [Arachis hypogaea L.] on Acidic Soil in Nedjo District, Western Ethiopia

Groundnut (Arachis hypogaea L.) is an important cash crop for smallholder farmers in western Ethiopia. However, the yield of the crop is very low mainly because of strong soil acidity and poor soil fertility management. A study conducted to evaluate the effect of lime and mineral phosphorus fertilizer on yield components and yield of groundnut. The treatments consisted of three phosphorus rates (0, 46 and 92 kg P2O5·ha-1), three lime rates (0, 6, and 11 ton lime·ha-1), and three groundnut varieties (local cultivar, Werer-961, and Werer-963) was laid-out as a randomized complete design in a factorial arrangement with three replications. The corresponding rates of phosphorus applied per pot of soil (7 kg) amounted to 0, 107 and 215 mg kg·soil-1 and those of lime amounted to 0, 14, and 26 g kg·soil-1. The analysis of variance showed that phenological characters, yield, and yield components significantly affected by interaction of variety, phosphorus, and lime. The highest dry pod yield produced by Werer-963 (2 kg dry pod yield·pot-1) in response to the application 11 t·ha-1 lime and 46 kg P2O5·ha-1. However, Werer-961 produced medium (1.5 kg dry pod yield·pot-1) at 11 t·ha-1 lime and 92 kg P2O5·ha-1 and the local cultivar produced minimum (1 kg dry pod yield·pot-1) at the application of 11 t·ha-1 lime and 92 kg P2O5·ha-1. In terms of phosphorus yield efficiency index, Werer-963 was highly efficient (index of 1.71), and Werer-961 was moderately efficient (index of 0.6). However, the local cultivar was inefficient (index of 0.04). It is at, in acidic soil of the study area Werer-963 is the best to be cultivated with application of lime 11 t·ha-1 and 46 kg P2O5·ha-1 fertilizer, followed by Werer-961. The results of this pot experiment have revealed that farmers in the study area need to switch to cultivating the improved varieties of groundnut rather than local variety with the application of high rates of lime and moderate amounts of phosphorus.

不同油菜品种及栽培措施对收获指数的影响

【目的】研究不同油菜品种与栽培措施下收获指数(HI)与籽粒产量、角果皮等不同器官成熟期干重的关系,同时分析油菜品种育成年代、株高和冬性特征对收获指数的影响,为高产、高效油菜品种的选育和栽培措施的协同优化提供参考。【方法】以近年来长江流域推广的不同育成年代、株高及冬性特征的60个油菜品种为材料,于2016—2017年分别在湖北和贵州两地开展品种大田试验;于2017—2020年在贵州碧江、思南和江口3点开展以不同播种期、肥力水平、种植密度和行距配置等栽培因子的组合试验,开展油菜栽培措施优化组合的大田试验,在油菜成熟期采样后测定各部分干重及产量,计算分析收获指数。【结果】不同油菜品种的收获指数变化差异最高达367%,不同农艺栽培措施组合使其收获指数差异达52%—117%。不同品种油菜的收获指数每增加0.1,大田籽粒产量在两个试验点分别提高305和385 kg·hm^(-2);不同农艺栽培措施优化后籽粒产量随油菜收获指数的提高而增加,收获指数每增加0.1则大田籽粒产量增加505—1690 kg·hm^(-2)。不同品种和栽培措施影响下,油菜的收获指数与植株的主茎籽粒产量、分枝籽粒产量和地上部生物产量均呈正相关关系;不同栽培措施优化后油菜收获指数与角果皮干重呈正相关关系;而不同品种和栽培措施的油菜收获指数与茎秆干重没有较一致的相关性。2010年以前与2015年以后育成的油菜品种间收获指数有显著差异;株高小于170 cm的油菜品种其收获指数值相对较高,高秆品种的收获指数显著低于矮秆和中秆品种;弱冬性、半冬性和冬性油菜品种之间收获指数无显著差异。【结论】油菜不同品种选择和栽培因子的优化组合措施对其收获指数有显著影响,可选育较高收获指数油菜品种推广,同时通过优化组合栽培技术措施适当增加大田油菜群体收获指数,通过良种和良法的协同来提高大田油菜籽粒产量。近年在长江流域选育推广的油菜品种收获指数受其育成年代和株高影响显著,而品种间的冬性差异对油菜收获指数无显著影响。

控制排水条件下黄豆氮磷吸收利用及产量的试验研究

为揭示控制排水条件下黄豆氮磷吸收利用及产量的影响机理,2019—2020年连续2年在湖北省漳河灌区开展了自由排水(埋深1.2 m)、定水位排水(埋深0.6 m)、变水位排水(埋深0.4~0.8 m)3种排水处理条件下黄豆种植小区试验。试验结果表明:定水位排水处理条件下的黄豆产量最高,分别为1795.5 kg/hm^(2)(2019年)和2118.2 kg/hm^(2)(2020年);氮、磷吸收利用效率在定水位排水处理条件下的最大,氮肥偏生产力分别为7.70 kg/kg(2019年)、9.08 kg/kg(2020年),磷肥偏生产力分别为15.42 kg/kg(2019年)、18.19 kg/kg(2020年);定水位排水处理条件下的氮素收获指数为最高,达50.0%(2020年),比自由排水处理条件下和变水位排水处理条件下的分别高2.3%和2.8%;磷素收获指数也是在定水位排水处理条件下的最高,为37.6%(2020年),比自由排水处理条件下和变水位排水处理条件下的分别高3.1%和0.7%。定水位排水处理条件(埋深0.6 m)不仅有利于提高黄豆的产量,同时也有利于提高植株的氮、磷肥吸收利用效率,是漳河灌区黄豆种植较优的排水处理模式。