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1.
普通小麦品种籽粒矿质元素含量分析   总被引：4，自引：1，他引：3  
山西省中部地区是山西小麦生产的重要地区,了解该区当前主栽小麦品种和骨干亲本的籽粒中矿物元素含量的基因型特点,对进一步选育富含铁、锌等元素的新品种具有指导作用。采用电感耦合等离子发射光谱仪(ICP-AES)分析了17个小麦品种的铁、锌、锰和铜元素含量。结果表明,供试材料中4种元素含量的变化范围较大,铁、锌、锰和铜的平均含量分别为38.19 mg/kg、29.30 mg/kg、38.44 mg/kg和6.89 mg/kg。其中,‘河东乌麦526’、‘京冬8号’和‘冬黑10号’的铁含量大于45 mg/kg,‘太10604’的锌含量最高为42.98 mg/kg,‘河东乌麦526’和‘冬黑10号’锰含量高于45 mg/kg,‘晋麦66’和‘冬黑10号’铜的含量较高,均高于8.50 mg/kg。籽粒中锰与铁、锰和锌元素含量间呈显著相关,其中锰和锌含量间呈极显著相关,相关系数为0.69,其他各元素间相关不显著。可以从小麦主栽品种中筛选高矿质元素含量的基因型,‘河东乌麦526’、‘京冬8号’、‘冬黑10号’和‘太10604’ 4个品种可作为进行籽粒富含铁、锌矿质营养小麦遗传改良的亲本。  相似文献   

2.
旨在筛选出适宜水条播种植的水稻品种。以‘南粳5718’和‘淮稻5号’为材料,采用机械水条播的方式,在麦秸秆还田条件下,用裂区设计,以施氮量为主区,品种为裂区,设置3个施氮量处理,分别为240 kg/hm2(N1),270 kg/hm2(N2)和300 kg/hm2(N3),研究不同施氮量对机械水条播水稻产量及稻米品质的影响。结果表明：适当增施氮肥可以提高水稻的产量,‘南粳5718’在施氮量270 kg/hm2时,产量构成因素最为协调,产量达到最高;而‘淮稻5号’在施氮量300 kg/hm2时,产量最高。随着施氮量的增加,稻米的糙米率、精米率、整精米率、垩白粒率、垩白度和蛋白质含量逐渐增加,直链淀粉含量逐渐降低;峰值黏度、热浆黏度、崩解值和最终粘度均呈下降的趋势,消减值逐渐增加。适当增施氮肥可以提高稻米的加工品质和营养品质,但外观品质和食味品质降低。同一施氮水平条件下,‘南粳5718’的产量、加工品质、外观品质及食...  相似文献   

3.
为探讨施氮量对优质常规籼稻稻米品质的影响，以桂香18、桂育12、桂育9号、桂育11号、桂育18和桂育8号为材料，在4种不同施氮量下分析稻米品质指标。结果表明，糙米率和整精米率随施氮量的增加呈先升后降的趋势，供试品种在施氮150.0kg/hm2时其值较高；垩白粒率和垩白度随施氮量的增加而降低，供试品种在施氮150.0或187.5kg/hm2时其值较低，且在施氮150.0和187.5kg/hm2时，粒长和长宽比差异不显著；随施氮量的增加，直链淀粉含量呈上升趋势，蛋白质含量显著升高，供试品种在施氮150kg/hm2时直链淀粉含量均达到优质一等。综上，在本试验条件下，150kg/hm2是实现供试品种稻米品质较优的最适施氮量。  相似文献   

4.
‘莆豆5号’系以‘泉豆7号’为母本、‘特大粒1号’为父本进行有性杂交,经系谱选育成的春大豆新品种。该品种蛋白质含量高、丰产稳产、适应性广、抗性好。2014年通过福建省农作物品种审定委员会审定。为了加快该品种在福建大豆产区的推广应用,本试验采用三因素二次通用旋转组合设计研究了不同种植密度及尿素、氯化钾施用量对‘莆豆5号’产量的影响。通过产量数学模型的优化与解析,结果表明,在福建省红黄壤旱地,该品种产量达2550 kg/hm~2以上的最佳农艺措施组合是:种植密度为27.50万株/hm~2~29.05万株/hm~2、施尿素57.89~68.78 kg/hm~2、施氯化钾106.59~117.84 kg/hm~2。  相似文献   

5.
不同杂交水稻品种糙米中重金属Cd、Zn、As含量的差异研究   总被引：5，自引：1，他引：5  
为了研究不同品种及类型杂交水稻对重金属Cd、Zn和As吸收累积差异,在湘南某矿区重金属和As复合污染稻田中种植30种不同品种的杂交水稻。研究结果表明：30个杂交水稻中糙米Cd含量为0.28~0.83 mg/kg,Zn含量为24.13~34.16 mg/kg,无机As含量为0.45~0.77 mg/kg。不同基因型杂交水稻品种吸收累积重金属Cd、Zn和无机As有一定的差异性,Cd在不同水稻品种糙米中的积累存在显著差异性,而Zn和无机As在水稻糙米中的累积差异性不显著。不同类型的杂交水稻之间对于重金属的累积也存在差异性,两系杂交水稻和三系杂交水稻糙米中Cd含量存在显著差异(P<0.05),而糙米中Zn和无机As的含量差异性不显著。因此,根据不同基因型杂交水稻对重金属累积的差异性,筛选出重金属低累积水稻品种的方法是可行的。  相似文献   

6.
以粳型超级稻常规品种南粳44和杂交品种常优1号为材料,在机械插秧条件下,研究施氮量（0、90、180、270、360 kg/hm2）对粳型超级稻主要米质性状及淀粉粘滞谱（RVA谱）特征的影响。结果表明：施氮量对两个品种的稻米加工品质、营养品质、蒸煮食味品质及淀粉RVA谱3个曲线峰值的影响达到显著或极显著水平,对淀粉RVA谱其他特征参数的影响因不同品种而异;常优1号的外观品质指标（垩白粒率和垩白度）对氮肥施用量的反应较南粳44表现敏感,增加施氮量使杂交粳稻外观品质变差。随施氮量的增加,两个品种的糙米率、精米率、整精米、精米蛋白质含量呈增加趋势,而稻米的直链淀粉含量、食味值和淀粉RVA谱曲线峰值（峰值黏度、热浆黏度和冷胶黏度）呈现下降趋势。表明增施氮肥在提高粳型超级稻加工和营养品质的同时,降低了稻米食味品质,并使稻米淀粉粘性变劣。  相似文献   

7.
水稻子粒铁、锌和铜含量的基因型差异分析   总被引：1，自引：0，他引：1  
筛选子粒富铁(Iron,Fe)和锌(Zinc,Zn)及铜(Copper,Cu)含量较低的水稻种质资源,为水稻富铁、锌和耐铜新品种的选育提供资源基础,笔者于江西省德兴铜矿附近重金属污染较重农田中种植了153份基因型各异的水稻品种(品系,组合),分析其子粒的铁、锌和铜含量,结果表明,收获的149份有效材料子粒铁、锌和铜含量的基因型差异都很大,变化范围分别为9.26~48.65mg/kg,13.08~36.08mg/kg和2.02~6.71mg/kg,平均值分别为16.46,22.67和3.53mg/kg,锌和铜含量都在国家规定的限量标准之下,各基因型糙米铁、锌和铜含量都呈正态分布规律;5类水稻材料间铁、锌和铜含量差异都非常明显,其铁含量大小顺序为常规粳稻>私型两系杂交稻>常规私稻>私型三系杂交稻>常规糯稻;铜含量大小顺序为常规粳稻>常规私稻>私型两系杂交稻>常规糯稻>私型三系杂交稻;常规稻的锌含量较接近,但显著高于杂交稻。  相似文献   

8.
播量和施氮量对直播稻产量和品质的影响   总被引：3，自引：1，他引：2  
为探明直播稻在不同的播量和施氮量条件下产量和品质的表现,研明直播稻高产优质适宜的播量和施氮水平,以‘新稻567’、‘新稻568’和‘新科稻31’为试验材料,分别设置5个播种量和3个施氮水平,研究不同播量和施氮水平对直播稻产量和品质的影响。结果表明:在不同播量处理下,对于‘新稻567’,在97.5 kg/hm~2播量水平下产量最高为9.78 t/hm~2,稻米的垩白粒率、垩白度较低,加工品质各播量间差异不显著;对于‘新稻568’,在75 kg/hm~2播量水平下产量最高,为9.58 t/hm~2,且与各处理间差异达显著或极显著水平,稻米的加工品质和外观品质处理间差异不显著。稻米的食味品质在两品种不同播量间差异不显著,但总体表现为‘新稻567’的食味值高于‘新稻568’。在不同氮肥处理下,直播稻品种的产量基本表现为随着施氮量的增加呈先增加后降低的趋势,在255 kg/hm~2处理下产量达最大;稻米的加工品质各施氮处理间差异较小,外观品质差异较大,垩白粒率和垩白度基本表现为不施氮处理较小,施氮处理较大。这说明,在适宜播量下对于不同的直播稻品种可以实现高产和优质的协同提高;在适宜的氮肥处理下可以获得水稻的高产水平,但增施氮肥水稻的外观品质变劣,因此,协同直播稻的高产优质仅靠氮肥调控仍存在一定的局限性。  相似文献   

9.
为探究微生物菌肥与氮磷肥配施对半干旱地区覆膜马铃薯抗旱生理指标及产量的影响,以马铃薯品种克新1号为供试材料,开展微生物菌肥与氮磷肥配施的试验研究。结果表明:施入微生物菌肥可以提高根际土壤含水量和根系活力,降低马铃薯叶片的丙二醛含量、游离脯氨酸含量、超氧化物歧化酶和过氧化物酶活性。处理T_1(尿素37.5kg/hm~2+磷酸二铵225kg/hm~2+微生物菌肥750kg/hm~2)是最优处理,较CK(尿素37.5kg/hm~2+磷酸二铵225kg/hm~2)增产21.05%。菌肥与氮磷肥配施可缓解干旱对马铃薯生长发育的影响,提高马铃薯产量及经济效益。  相似文献   

10.
针对水稻生产中氮肥用量增加、栽植密度越来越低等问题,深入探究水稻施氮量和栽植密度的互作效应对水稻生长、养分吸收及产量的影响,以期为减少施氮、高效施肥提供理论依据,从而找出水稻栽植密度与施氮量的最佳组合。以山东省济宁市任城区水稻试验田种植的第2季水稻圣稻18号为研究对象,通过田间试验设置氮肥水平与栽植密度双因素处理,施氮量设4个水平:无氮(N1),0 kg/hm~2;低氮(N2),216 kg/hm~2;中氮(N3),288 kg/hm~2;高氮(N4),360 kg/hm~2。栽植密度设3个梯度:低密度,24万穴/hm~2;中密度,27万穴/hm~2;高密度,30万穴/hm~2。共12个处理,3次重复。结果表明,本试验条件下,拔节期水稻的株高、鲜质量、叶面积及分蘖数均以30N3处理为最佳。对于水稻养分吸收,中氮中密度下的水稻氮素含量最高,其中27N2处理在抽穗期比24N2处理高出20. 2%,27N3处理在灌浆期比27N1处理高出1. 30%。而水稻全磷、全钾含量随着施氮量增加有不同程度的提高。试验还表明,在中密度条件下,288 kg/hm~2的施氮处理比不施氮肥产量提高12. 1%;在中氮条件下,27万穴/hm~2的栽植密度比低密度处理产量提高18. 5%。因此,氮肥水平与栽培密度的最优组合为288 kg/hm~2和27万穴/hm~2,该组合在降低施氮量,控制合理密度的同时,产量实现最优,达到14 615. 3 kg/hm~2。  相似文献   

11.
Investigations on concentration of mineral elements including Fe and Zn in wheat grains are important for human health. Two hundreds and sixty-five cultivars and advanced lines were collected and sown at Anyang experimental station of the Institute of Crop Science of the Chinese Academy of Agriculture Sciences in season 2005–2006 to evaluate the genetic variation of major mineral element concentrations in wheat grain. Twenty-four selected cultivars were also planted at seven representative locations in seasons 2005–2006 and 2006–2007 to evaluate the effects of genotype, environment, and genotype by environment interaction on mineral element concentrations. The 265 genotypes displayed a large variation for all mineral elements investigated including Fe and Zn, ranging from 28.0 to 65.4 mg kg−1 and 21.4 to 58.2 mg kg−1 for Fe and Zn, with mean values of 39.2 and 32.3 mg kg−1, respectively. Jimai 26, Henong 326, and Jingdong 8 displayed high Fe and Zn concentrations, and Jimai 26 and Henong 326 also displayed high concentrations of Cu, Mg, K, P, and protein content. Jingdong 8 is the most promising leading cultivar for increasing Fe and Zn concentrations. All mineral element concentrations including Fe and Zn were largely influenced by environment effects. Production of high Fe concentration can be best secured at Jiaozuo and Jinan, and high Zn concentration can be best secured at Jinan and Xuzhou, since samples from these locations in the two seasons are characterized by high Fe or Zn concentration, compared with the other locations. High and significant genotype by environment interaction effects on all mineral element concentrations were also observed, with ratios of genotype by environment to genotype variances all larger than 1.20. Grain Fe concentration was highly significant and positively correlated with that of Zn, indicating a high possibility to combine high Fe and Zn traits in wheat breeding. It also indicated strong positive correlations between concentrations of Fe, Zn, and protein content.  相似文献   

12.
Trace metal elements are essential in daily diets for human health and normal growth. Maize is staple food for people in many countries. However, maize has low mineral concentration which makes it difficult to meet human requirements for micronutrients. The objective of this study was to identify quantitative trait locus (QTL) and predict candidate genes associated with mineral concentration in maize grain. Here, a recombinant inbred line population was used to test phenotype of zinc (Zn), iron (Fe), copper (Cu) and manganese (Mn) concentrations in six environments and then a QTL analysis was conducted using single environment analysis along with multiple environment trial (MET) analysis. These two strategies detected a total of 64 and 67 QTLs for target traits, respectively. Single environment analysis revealed 13 QTL bins distributed on seven chromosomes. We found that five candidate genes associated with mineral concentration were located in the same intervals identified by Comparative mapping of meta-QTLs in our previous study. The genetic and phenotypic correlation coefficients were depended on the nutrient traits and they were significant between Fe and Zn, Fe and Cu, Fe and Mn in all environments. The results of this study illustrated the genetic correlation between maize grain mineral concentrations, and identified some promising genomic regions and candidate genes for further studies on the biofortification of mineral concentration in maize grain.  相似文献   

13.
Nineteen wild emmer wheat [Triticum turgidum ssp. dicoccoides (Körn.) Thell.] genotypes were evaluated for the grain concentrations of phosphorous (P), potassium (K), sulfur (S), magnesium (Mg), calcium (Ca), zinc (Zn), manganese (Mn), iron (Fe) and cooper (Cu) under five different environments in Turkey and Israel. Each mineral nutrient has been investigated for the (1) genotype by environment (G × E) interactions, (2) genotype stability, (3) correlation among minerals and (4) mineral stability. Among the macronutrients analyzed, grain concentrations of Ca (range 338–2,034 mg kg?1) and S (range 0.18–0.43%) showed the largest variation. In the case of micronutrients, the largest variation was observed in the grain Mn concentration (range 13–87 mg kg?1). Grain concentrations of Fe and Zn also showed important variation (range 27–86 and 39–115 mg kg?1, respectively). Accessions with higher nutrient concentrations (especially Zn and Fe) had also greater grain weight, suggesting that higher grain Zn and Fe concentrations are not necessarily related to small grain size or weight. Analysis of variance showed that environment was the most important source of variation for K, S, Ca, Fe, Mn and Zn, explaining between 44 and 78% of the total variation and G × E explained between 20 and 40% of the total variation in all the minerals, except for S and Zn where its effect accounted for less than 16%. Genotype was the most important source of variation for Cu (explaining 38% of the total variation). However, genotype effect was also important for Mg, Mn, Zn and S. Sulfur and Zn showed the largest heritability values (77 and 72%, respectively). Iron exhibited low heritability and high ratio value between the G × E and genotype variance components \( \left( {\sigma_{\text{GE}}^{2} /\sigma_{G}^{2} } \right) \), suggesting that specific adaptation for this mineral could be positively exploited. The wild emmer germplasm tested in the current study revealed some outstanding accessions (such as MM 5/4 and 24-39) in terms of grain Zn and Fe concentrations and environmental stability that can be used as potential donors to enhance grain micronutrient concentrations in wheats.  相似文献   

14.
To provide theoretical and applied references for biofortification of maize by increasing Zn and Fe concentration, the correlation and quantitative trait loci (QTL) of four mineral-related traits, i.e. zinc concentration of kernel (ZnK), zinc concentration of cob (ZnC), iron concentration of kernel (FeK) and iron concentration of cob (FeC) were studied for two sets of F2:3 populations derived from the crosses Mu6 × SDM (MuS) and Mo17 × SDM (MoS) under two different environments (CQ and YN). The parental lines were very different in Zn and Fe concentration of kernels and cobs. A large genetic variation and transgressive segregation of two F2:3 populations were observed for the four traits. The heritability of FeK was relatively lower (<0.6) than other three traits (>0.7). Analysis for each environment and joint analysis across two environments were used to identify QTL for each population. 16 and 15 QTL were identified in CQ and YN respectively via single environment analysis, some of which were identical in different environments and were also detected in joint analysis. The common regions for same trait at different environments were 3 and 5 in MuS and MoS respectively. Compared with the IBM2 2008 Neighbors Frame6, the distribution and effect of some QTL in two populations were highly consistent and many QTL on chromosome 2, 7 and 9 were detected in both populations. Moreover, several mineral QTL co-localized with each other for both populations such as the QTL for ZnK, ZnC, FeK and FeC on chromosome 2, QTL for Znk, FeK and FeC on chromosome 9 and QTL for ZnK and ZnC on chromosome 7, which probably were closely linked to each other, or were the same pleiotropic QTL.  相似文献   

15.
The aim of the present study was to compare the potential seed yield of eight quinoa varieties, to explore their mineral composition of seeds and to identify superior varieties in two locations with different soil properties. Compared with neutral soil conditions, seed yield in the marginal (saline–sodic) soil was decreased by 45 %. Under the latter soil conditions seed yield was negatively correlated with crop density, indicating that a considerable yield loss was due to poor and uneven plant density caused by adverse soil properties. Among the varieties, ‘RU–5–PQCIP–DANIDA–UNA’ produced the highest seed yield (>20 dt ha?1) when grown under neutral soil conditions. Under marginal conditions, the above‐mentioned variety and ‘N 407’ produced seed yields up to 10 dt ha?1 whereas the rest reached yields of only about 5 dt ha?1. The majority of the varieties accumulated significantly more protein (20 %) in the seeds under saline–sodic soil conditions (lower yielding environment). The varieties originated from South America were superior in accumulating protein in the seeds at both locations. Mineral contents of calcium (Ca), magnesium (Mg), zinc (Zn) and manganese (Mn) in the seeds were significantly higher in the neutral soil. No differences were found for phosphorous (P), iron (Fe), copper (Cu) and boron (B) between the two locations. The South American varieties were again superior in mineral composition. Adaptation of certain quinoa varieties even under marginal environments seems promising for seed production and/or protein and mineral content in the seeds. Agronomic data are needed in a due course, over a higher number of locations and/or various climatic conditions.  相似文献   

16.
Iron and zinc grain density in common wheat grown in Central Asia   总被引：5，自引：0，他引：5  
Sixty-six spring and winter common wheat genotypes from Central Asian breeding programs were evaluated for grain concentrations of iron (Fe) and zinc (Zn). Iron showed large variation among genotypes, ranging from 25 mg kg−1 to 56 mg kg−1 (mean 38 mg kg−1). Similarly, Zn concentration varied among genotypes, ranging between 20 mg kg−1 and 39 mg kg−1 (mean 28 mg kg−1). Spring wheat cultivars possessed higher Fe-grain concentrations than winter wheats. By contrast, winter wheats showed higher Zn-grain concentrations than spring genotypes. Within spring wheat, a strongly significant positive correlation was found between Fe and Zn. Grain protein content was also significantly (P < 0.001) correlated with grain Zn and Fe content. There were strong significantly negative correlations between Fe and plant height, and Fe and glutenin content. Similar correlation coefficients were found for Zn. In winter wheat, significant positive correlations were found between Fe and Zn, and between Zn and sulfur (S). Manganese (Mn) and phosphorus (P) were negatively correlated with both Fe and Zn. The additive main effects and multiplicative interactions (AMMI) analysis of genotype × environment interactions for grain Fe and Zn concentrations showed that genotype effects largely controlled Fe concentration, whereas Zn concentration was almost totally dependent on location effects. Spring wheat genotypes Lutescens 574, and Eritrospermum 78; and winter wheat genotypes Navruz, NA160/HEINEVII/BUC/3/F59.71//GHK, Tacika, DUCULA//VEE/MYNA, and JUP/4/CLLF/3/II14.53/ODIN//CI13431/WA00477, are promising materials for increasing Fe and Zn concentrations in the grain, as well as enhancing the concentration of promoters of Zn bioavailability, such as S-containing amino acids.  相似文献   

17.
Thirty-six lentil varieties were evaluated under organic and conventional environment for three consecutive years in order to see whether the promising genetic material for an organic plant breeding program are different from those of a conventional system. The genetic material studied originated from various countries. In the conventional trial plots standard cultural practices (P mineral fertilization & pest control) were applied throughout the growing season, while in the organic ones no fertilizers or pest agrochemicals were applied. Significant regression, but of low value, between grain yield ranking and earliness or harvest index ranking was detected. Combined ANOVA indicated significant differences between genotypes, years, environments and genotype × environmental interactions (GEI). It was observed that under conventional management most of the genotypes had a higher yield compared to the organic one. The mean grain yield ranking of the genotypes in each of the environments revealed that some of the genotypes occupied the same ranking position at both the organic and the conventional environment (non-crossover GEI), while others exhibited a significant alteration in their ranking (crossover GEI) under the two environments. Crossover GEI and non-cross over GEI revealed two types of lentil varieties. Varieties with specific adaptation and varieties with broad adaptation. It was concluded that grain yield was in general higher when lentil varieties were grown under a conventional environment compared to the grain yield produced under an organic environment. Yet, there are lentil genotypes with a higher yielding ability under the organic management and therefore should be targeted by the breeder.  相似文献   

18.
施氮量对豫北冬小麦产量及子粒主要矿质元素含量的影响   总被引：1，自引：1，他引：0  
以兰考矮早8、豫麦49-198和平安8号为材料,设置5个氮素水平（0、120、180、240、360kg/hm 2）,研究不同施氮量对豫北冬小麦子粒产量及其N、P、K、Ca、Mg、Fe、Mn、Cu、Zn、B等矿质元素含量的影响。结果表明：子粒中N与B（r=0.879）、N与Mg（r=0.858）、Mg与Zn（r=0.871）、Mg与B（r=0.877）含量间相关系数较高。施氮显著提高了子粒N、Ca、Fe、Cu、Zn、B含量,K、Mg含量受施氮量影响较小,但P和Mn含量明显下降。兰考矮早8子粒中各种矿质元素（除B外）含量明显高于平安8号,豫麦49-198介于二者之间。施氮在提高小麦子粒产量的同时降低了P/Ca、P/Mg、P/Fe和P/Zn的值,增强了Ca、Mg、Fe、Zn的生物有效性。此外,研究发现施氮量达到180kg/hm 2后,继续增施氮肥小麦产量难以提升。可见,合理的氮肥管理可以提高豫北地区冬小麦产量及子粒中微量元素的含量;过量施氮不仅难以提高子粒产量,还会降低子粒P和Mn的含量。  相似文献   

19.
The net blotch resistance of barley varieties widely grown in Denmark was studied using data obtained from naturally infected field plots and inoculated disease nurseries in multiple years and locations. Data were analysed by combining two statistical procedures, 1) joint regression (JR) and 2) additive main effect, multiplicative interactive effect analysis (AMMI). Of the total variation for net blotch disease severity, 61–81% could be explained by plant genotype (G) and environment (E) main effects. Of the remaining variation, 77–86% could be explained by significant G × E interactions that were due to genotype sensitivity to the mean environmental disease level and/or to specific reactions of individual genotypes in particular environments. G × E interactions led to a different ranking of varietal performance across environments. There was evidence for G × E interactions caused by the virulence characteristics of the initial inoculum sources. The spring barley varieties Alexis and Bartok and the winter barley varieties Jolante, Ludo, and Rafiki were identified as varieties with high levels of net blotch resistance in all environments. Their performance was little affected by G × E interactions, suggesting that they represent good sources for non-specific resistance. Combining JR and AMMI reduced the dimensionality of complex G × E problems greatly, identified systematic reaction patterns of varieties possibly pertaining to different resistance mechanisms, and described specific and non-specific resistance of varieties by means of few parameters while maintaining the possibility to reconstruct the original data with little loss of information. This is very useful for improving the evaluation of varietal resistance for breeding and disease management purposes. This revised version was published online in July 2006 with corrections to the Cover Date.  相似文献   

20.
采用防雨池栽方法研究了不同灌溉条件下两种栽培类型燕麦白燕7号皮燕麦（Avena sativa L.）和内农大莜一号裸燕麦（Avena nuda L.）籽粒植酸、总磷、蛋白质、钙、镁、钾、锌、铁、铜、锰含量变化特征。随灌水次数和灌水量的增加,内农大莜一号裸燕麦籽粒总磷和铜含量呈线性变化,籽粒产量、植酸、钙、镁、钾、锌、锰含量变化呈二次函数;白燕7号皮燕麦籽粒（去壳）锌和铁含量呈线性变化,植酸、总磷、粗蛋白、钙、镁含量呈二次函数变化。  相似文献   

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