水稻资源全生育期耐盐性鉴定筛选

对来自国内外不同地区的550份水稻资源进行全生育期耐盐性鉴定。设置淡水、0.3%和0.5%盐溶液浇灌3个处理,插秧10d后,通过浇灌不同体积的淡水与海水调至设计浓度对水稻进行不同浓度的盐胁迫处理。分别调查了淡水及0.3%盐处理下水稻株高、有效分蘖数、主穗长度、主穗结实率、单株产量、抽穗期6项农艺性状和0.5%盐处理下的水稻耐盐表型。与淡水浇灌相比,全生育期在0.3%盐溶液处理下,550份水稻(100%)株高显著降低;124份(22.55%)水稻有效分蘖数(90份增加, 34份减少)、414份(75.27%)水稻主穗长度(405份变短、9份增长)、145份(26.36%)水稻主穗结实率(84份减少, 61份增加)、375份(68.18%)水稻单株产量(343份减少, 32份增加)存在(极)显著差异;水稻资源的抽穗期无显著差异。主成分分析表明,主穗结实率、有效分蘖数及单株产量3项性状累计贡献77.25%的变异。根据产量耐盐系数筛选了121份耐盐水稻资源(产量耐盐系数≥0.8),在0.5%盐胁迫持续处理42 d后,筛选了78份耐盐水稻资源(耐盐表型为3级),其中25份水稻资源全生育期在0.3%盐处理下单株产量耐盐系数≥0.8,在0.5%盐胁迫持续处理42 d后的耐盐表型为3级。筛选的耐盐水稻资源为培育耐盐新品种及深入研究耐盐机制提供材料。     

Drought and heat stress reduce yield and alter carbon rhizodeposition of different wheat genotypes

Drought and high temperature are major environmental stress factors threatening wheat production during grain filling stage resulting in substantial yield losses. Four wheat genotypes (Suntop, IAW2013, Scout and 249) were planted under two temperature levels (25 and 30°C) and two water levels (15% and 25% soil moisture content). Wheat yield, leaf δ¹³C, plant rhizodeposition, shoot biomass and root traits were examined. Low moisture (drought stress) and high temperature (heat stress) decreased the grain yield of all wheat genotypes, in particular 249, while combined drought and temperature stresses had the most pronounced negative effect on plant biomass and grain yield. Decreasing soil water availability decreased the allocation of plant‐derived C to soil organic carbon (SOC) and to microbial biomass through rhizodeposition. Leaf δ¹³C decreased with increased yield, suggesting that higher yielding genotypes were less water stressed and allocated less C to SOC and microbial biomass through rhizodeposition. Wheat genotypes with lower root/shoot ratios and thinner roots were more efficient at assimilating C to the grain, while genotypes with higher root/shoot ratios and thicker roots allocated more C belowground through rhizodeposition at the expense of producing higher yield. Therefore, improving these traits for enhanced C allocation to wheat grain under variable environmental conditions needs to be considered.     

Mechanisms associated with tiller suppression under stagnant flooding in rice

Stagnant flooding (SF) during vegetative growth triggers stem elongation usually at the cost of tiller production in rice, reducing grain yield. To explore physiological mechanisms associated with tillering suppression under SF, three contrasting genotypes (Swarna and Swarna‐Sub1, both sensitive and IRRI154, tolerant) were evaluated under standing water depths of 0, 5, 30 and 50 cm. SF significantly suppressed tiller formation but increased plant height, root biomass, shoot elongation (ratio of plant height before and after flooding), leaf emergency and non‐structural carbohydrate (NSC) concentration (in root–shoot junction) in all genotypes at the early stage of development. Chlorophyll concentration in the upper leaves (upper most fully expanded leaf at top) was higher than in lower leaves (lowest green leaf at base), but decreased under SF in both. SF increased hydrogen peroxide (H₂O₂) at the early stage of treatment, with concomitant increase in malondialdehyde (MDA) production by stems and leaves. MDA concentration in root–shoot junction increased but delayed. Tiller number correlated negatively with plant height, shoot elongation, leaf emergency, MDA concentration in leaves and root–shoot junction, root biomass, and NSC concentration in the root–shoot junction. The results suggested existence of compensatory mechanisms between tiller growth and shoot elongation in rice for resilience under SF, where energy is mainly diverted for shoot elongation to escape flooding. The SF‐tolerant genotype produced less H₂O₂ and maintained energy balance for higher survival and better growth under stagnant flooding.     

卢氏绿壳蛋鸡育成期适宜能量水平的研究

试验旨在通过研究不同能量水平对卢氏绿壳蛋鸡育成期体尺、生长性能及屠宰性能的影响，得出其育成期能量的需要量。选用150 只体重相近的8 周龄卢氏绿壳蛋鸡，按能量水平（A组10.52 MJ/kg、B组10.90 MJ/kg、C组11.29 MJ/kg、D组11.70 MJ/kg、E组12.10 MJ/kg）随机分为5 组（5 个重复，每个重复6 只鸡）。试验采取单因素试验设计，预试期1 周，正试期10 周。结果表明：不同能量水平显著影响卢氏绿壳蛋鸡育成期的胫长、胸宽和胸深(P<0.05)。D和E 组的终末体重和平均日增重差异不显著(P>0.05)，但均显著高于A、B和C组(P<0.05)。能量过高时（E组），终末体重和平均日增重又有所下降。不同能量水平对卢氏绿壳蛋鸡的屠宰性能影响显著(P<0.05)。在本试验条件下，日粮能量水平为11.70 MJ/kg时，更有利于提高卢氏绿壳蛋鸡育成期的生产性能和屠宰性能。     

施肥枪分次追施对贵州春马铃薯产量、结薯性状及土壤肥力的影响

为探究施肥枪施肥技术在贵州春马铃薯生产中的应用效果,采用田间试验方法研究了施肥枪分次施肥对马铃薯产量、结薯性状、养分与品质以及土壤肥力状况的影响。结果表明,与习惯施肥(CK2)相比,采用施肥枪分次施肥可显著提高马铃薯产量0.6%~19.6%,且随着追施比例的增加,马铃薯产量呈递增趋势,以20%基施+80%分次追施(T4)处理的产量最高,达到26 195 kg/hm2;40%基施+60%分次追施(T3)和20%基施+80%分次追施(T4)处理的马铃薯单株产量较习惯施肥(CK2)分别提高18.6%和26.0%,单株结薯数、大中薯数以及大中薯率的增加是马铃薯增产的原因;采用施肥枪分次施肥可以提高马铃薯茎块的含氮、磷、钾量,并改善马铃薯品质,以20%基施+80%分次追施(T4)处理效果最佳,其含氮、磷、钾以及淀粉量较习惯施肥(CK2)分别提高2.7%、22.2%、10.4%和41.2%,但对马铃薯还原糖量影响不大;施肥枪分次施肥可改善土壤肥力状况,尤其是在提高土壤p H值、土壤全钾和速效钾量方面较为明显,此外通过逐步回归分析发现马铃薯产量与马铃薯淀粉量和土壤碱解氮量存在极显著的相关性。综上所述,施肥枪分次施肥可适用于西南丘陵旱地马铃薯种植栽培,以20%基施+80%分次追施(T4)效果最佳。     

不同种植密度对夏玉米品种株型及产量性状的影响

为了阐述不同玉米品种株型及产量性状对密度响应，以目前生产上广泛种植的6个品种（‘郑单958’、‘先玉335’、‘伟科702’、‘浚单20’、‘金海5号’、‘利民33’）为材料，研究4个种植密度(60000、90000、112500、127500株/hm2)下不同品种株型和产量性状的变化。结果表明：6个品种棒三叶面积及茎粗系数均随着密度增加而减小，但减小幅度在不同品种或不同叶位存在差异。产量构成因素如穗长、穗粗、穗行数、行粒数、穗粒数和千粒重随着密度增加而减小。4个种植密度中，‘金海5号’、‘伟科702’、‘郑单958’在密度为90000株/hm2时产量为最高；其他3个品种随密度增加，产量降低。回归分析发现在10个已知影响玉米产量因素中，穗粒数对产量的直接影响最大，其次为行粒数。此结果为玉米品种选育和生产上高效栽培提供理论依据。     

覆膜滴灌玉米产量和农艺性状相关性分析

为明确在覆膜滴灌条件下玉米品系(种)主要农艺性状与产量的关系,应用DPS软件对15个玉米杂交品系(种)的主要农艺性状和产量性状进行相关性、灰色关联度等分析,结果表明:籽粒重、穗重、产量的变异系数较大;玉米产量与生育期、籽粒水分含量、穗重、籽粒重呈显著正相关关系;聚类分析可将参试的15个品系(种)划分为3类,第Ⅲ类表现良好,值得进行推广种植。灰色关联度分析表明,玉米籽粒重、穗重、生育期、籽粒水分含量等性状是影响玉米产量的主导因素,在玉米高产育种中,应以其为主攻目标,提高玉米后代的有效选择,加速高产育种进程。     

长杂2号在襄垣县的表现与高产栽培技术

对优质、高产谷子杂交种长杂2号的特征特性及其在襄垣地区的表现进行了分析,结果表明,该杂交种丰产、稳产、抗逆性强。针对其特点提出了相应的优质高产栽培措施:适时播种、适时喷除草剂并间苗、公顷留苗不应超过30万株、综合防治病虫害、及时抢收,为该品种大面积种植提供技术指导。     

遮穗和去颖下燕麦穗部特征变化和穗部光合贡献率估算

随着探索提高植物整体光合能力相关研究的不断开展，麦类作物穗部器官等植物非叶绿色器官光合潜力挖掘逐渐得到关注。本研究在成都平原秋播美达、贝勒、莫尼卡、摄政王、泰克和甜燕60等6个品种燕麦，设置遮穗、去颖2个试验处理，比较分析了各品种间穗部特征、穗部光合贡献率、颖片光合贡献率和茎光合物质转移率等差异。结果表明，燕麦穗部器官光合贡献率为28.56%～49.05%，其中甜燕60最高；6个品种燕麦的颖片光合贡献率为11.03%～36.88%，茎光合物质转移率为6.65%～35.81%。燕麦穗部器官对籽实增重表现了较高的光合贡献，当燕麦穗部器官光合受到限制时，燕麦单粒种子重和单穗种子数显著降低，尤其是影响双粒小穗数。     

辣椒重要农艺性状关联分析与优异等位变异发掘

为了发掘辣椒株高、始花节位、单果质量、果纵径、果横径、果形指数和果肉厚度等重要农艺性状的关联位点和优异等位变异,本研究以194份辣椒核心种质为试验材料,利用广义线性模型(GLM)和混合线性模型(MLM)两种方法,基于分布于辣椒12条染色体的58个SSR标记,对上述7个农艺性状开展了关联分析。结果表明,GLM方法检测到20个SSR关联位点,解释的表型变异率为2.09%~21.91%;MLM方法检测出17个SSR关联位点,能解释2.07%~7.24%的表型变异;有12个位点被两种方法同时检测到;基于关联位点各等位变异的表型效应,发掘出TC7268Sa、CAMS-327a、HpmsE132a、ge35-141pmH0135Ca、CAMS-454c和Hpms2-24a等优异等位变异,筛选出B003、B010、B015、B020、B022、B042、B048、B052、B097、B111、B134、B138、B166、B178、B351、B352、C005、C014、V06C0007、V06C0295、V06C1082、V06C1088、V06C1187、V06C1321、V06C1600、V06C1707、V06C1719和V06C1898等28份优良农艺性状典型种质材料。本研究结果为辣椒相关农艺性状优异基因的发掘、分子标记辅助选择与聚合育种提供了理论指导和材料基础。