scholarly journals Identification of QTLs for Seed Yield and Yield-Related Traits in Brassica Napus Grown with Contrasting Nitrogen Supplies

2021 ◽  
Author(s):  
Maoyan Zou ◽  
Taoxiong Shi ◽  
Wei Wang ◽  
Guangda Ding ◽  
Fangsen Xu ◽  
...  
Keyword(s):  
Brassica Napus ◽  
Seed Yield ◽  
Field Trials ◽  
Genetic Mechanism ◽  
Yield Traits ◽  
Branch Number ◽  
Significant Qtls ◽  
The World ◽  
N Deficiency ◽  
Pod Number

Abstract Oilseed rape (Brassica napus L.; B. napus) is the main oil crop in China as well as in the world. Nitrogen (N) deficiency significantly reduces the seed yield of B. napus. However, a very few studies involved in the genetic mechanism of seed yield (SY) and SY-related traits of B. napus in response to N deficiency. In this study, plant height (PH), branch number (BN), pod number (PN), seed number (SN), 1000-seed weight (SW) and SY were investigated using a B. napus double haploid (BnaTNDH) population derived from a cross between cultivars ‘Tapidor’ and ‘Ningyou7’ grown at an optimal (ON) and a low N (LN) supplies in three-year field trials. Great variations of SY and related traits were observed in BnaTNDH population under contrasting N supplies. A total of 106 and 110 significant quantitative trait loci (QTLs) were detected for six traits at ON and LN in three field trials, respectively. All of these significant QTLs for the same trait were integrated into 191 consensus QTLs. Nine and eleven consensus QTLs at ON and LN were detected in two or three trials, respectively, and the remaining were environment-specific. One hundred and three unique QTLs were integrated from 191 consensus QTLs, including 29 low N specific QTLs, 35 optimal N specific QTLs and 39 constitutive QTLs. uqA3q was integrated from four consensus QTLs for PN, PH, SN, SY at LN, uqC9f was integrated from consensus QTLs for BN, SY, PN at ON and LN. Both were detected in three trials. This result may help to better understand the genetic mechanism of yield traits in response to low N and promote the breeding of N efficient varieties.

scholarly journals Yield evaluation of varieties from the world collection of birdsfoot trefoil (Lotus corniculatus L.)

2011 ◽  
Vol 48 (No. 6) ◽  
pp. 265-270
Author(s):  
J. Pelikán
Keyword(s):  
Seed Yield ◽  
Lotus Corniculatus ◽  
Field Trials ◽  
Birdsfoot Trefoil ◽  
Local Varieties ◽  
World Collection ◽  
The World ◽  
Herbage Yield ◽  
Second Year ◽  
Good Productivity

In field trials in 1998–2000, ten varieties of the world collection of birdsfoot trefoil (Lotus corniculatus) were evaluated for herbage and hay yields. In all the years of testing yields from three cuttings and total annual production were evaluated. In 1999, seed yield was also recorded. As a control, alfalfa (Medicago sativa) variety was included in the experiment. The test varieties showed good productivity in the first and especially in the second year of testing, most of them exceeded alfalfa in herbage yield in individual cuttings and in total productions. As for hay yield, the differences were not so great. Local varieties showed very good productivity, predominantly in herbage yields. Of foreign varieties, the best herbage, hay and seed yielder was the Hungarian variety Puszta. There were no statistical differences in seed yield between the varieties. The yields were, however, relatively low.

Association mapping of winter hardiness and yield traits in faba bean (Vicia faba L.)

2016 ◽  
Vol 67 (1) ◽  
pp. 55 ◽  
Author(s):  
Ahmed Sallam ◽  
Arun Prabhu Dhanapal ◽  
Siyang Liu
Keyword(s):  
Association Mapping ◽  
Vicia Faba ◽  
Seed Yield ◽  
Faba Bean ◽  
Field Trials ◽  
Snp Markers ◽  
Winter Hardiness ◽  
Yield Traits ◽  
Days To Flowering ◽  
Vicia Faba L

Improving frost tolerance and winter hardiness with desirable agronomic features are the main objectives in winter faba bean (Vicia faba L.) breeding programs, especially in cool temperate regions of Europe. In this study, 189 single-seed-descent lines of winter faba bean from the Göttingen Winter Bean Population were evaluated in field trials (winter hardiness and yield traits). Seven traits were examined (three winter-hardiness traits and four yield traits) and scored. Of the 189 genotypes, 11 lines were identified as winter hardy and having high seed yield. The highest repeatability (h2) estimates were found for leaf frost susceptibility (0.86) among the winter-hardiness traits and for days to flowering (0.95) among the yield traits. In total, 25 putative quantitative trait loci (QTLs) were identified, for winter survival rate (one QTL), 1000-seed weight (one QTL), field plant height (two QTLs), days to flowering (nine QTLs), and seed yield (12 QTLs), based on the association mapping approach using 156 single nucleotide polymorphism (SNP) markers. Candidate genes were identified for QTLs by using synteny between Vicia faba and Medicago truncatula. The SNP markers identified in this study may be used for accelerating breeding program in faba bean to improve winter hardiness and yield traits.

scholarly journals Phenotyping Flowering in Canola (Brassica napus L.) and Estimating Seed Yield Using an Unmanned Aerial Vehicle-Based Imagery

2021 ◽  
Vol 12 ◽  
Author(s):  
Ti Zhang ◽  
Sally Vail ◽  
Hema S. N. Duddu ◽  
Isobel A. P. Parkin ◽  
Xulin Guo ◽  
...  
Keyword(s):  
Brassica Napus ◽  
Seed Yield ◽  
Good Predictor ◽  
Subjective Time ◽  
Canola Seed ◽  
Flowering Stage ◽  
Full Flowering ◽  
Pod Number ◽  
Flowering Intensity ◽  
Over Time

Phenotyping crop performance is critical for line selection and variety development in plant breeding. Canola (Brassica napus L.) flowers, the bright yellow flowers, indeterminately increase over a protracted period. Flower production of canola plays an important role in yield determination. Yellowness of canola petals may be a critical reflectance signal and a good predictor of pod number and, therefore, seed yield. However, quantifying flowering based on traditional visual scales is subjective, time-consuming, and labor-consuming. Recent developments in phenotyping technologies using Unmanned Aerial Vehicles (UAVs) make it possible to effectively capture crop information and to predict crop yield via imagery. Our objectives were to investigate the application of vegetation indices in estimating canola flower numbers and to develop a descriptive model of canola seed yield. Fifty-six diverse Brassica genotypes, including 53 B. napus lines, two Brassica carinata lines, and a Brassica juncea variety, were grown near Saskatoon, SK, Canada from 2016 to 2018 and near Melfort and Scott, SK, Canada in 2017. Aerial imagery with geometric and radiometric corrections was collected through the flowering stage using a UAV mounted with a multispectral camera. We found that the normalized difference yellowness index (NDYI) was a useful vegetation index for representing canola yellowness, which is related to canola flowering intensity during the full flowering stage. However, the flowering pixel number estimated by the thresholding method improved the ability of NDYI to detect yellow flowers with coefficient of determination (R2) ranging from 0.54 to 0.95. Moreover, compared with using a single image date, the NDYI-based flowering pixel numbers integrated over time covers more growth information and can be a good predictor of pod number and thus, canola yield with R2 up to 0.42. These results indicate that NDYI-based flowering pixel numbers can perform well in estimating flowering intensity. Integrated flowering intensity extracted from imagery over time can be a potential phenotype associated with canola seed yield.

scholarly journals Cause and Effect Relationship in Chickpea (Cicer arietinum L.) Genotypes under Temperate Conditions

2020 ◽  
pp. 38-45
Author(s):  
Mohd Aslam Dar ◽  
Noor-ul-Saleem Khuroo ◽  
Reyaz-ul-Rouf Mir ◽  
Zahoor Ahmad Dar ◽  
Bilal Ahmad Lone ◽  
...  
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Seed Weight ◽  
Research Work ◽  
Path Coefficient ◽  
Branch Number ◽  
Weight Number ◽  
100 Seed Weight ◽  
Pod Number

Thirty-five genotypes and 3 varieties of chickpea were undertaken to determine the variability, interrelationship among yield and its components and their primary and secondary impact on seed quantity. The research work performed at FoA, Wadura Sopore, SKUAST-Kashmir in the rabi 2017-18. The treatment differences were statistically highly significant for all the traits along with higher magnitude of genotypic and phenotypic coefficient of variation indicating presence of good amount of variability. The character, plant height showed maximum difference preceding by pod number plant-1, days taken to maturity, 50% flowering, seed yield plant-1, 100 seed weight, number of secondary and primary branches plant-1 and seeds pod-1. Genotypic and phenotypic coefficient of variation have been seen maximum in case of seed yield plant-1 preceding by plant height, pod number plant-1, secondary branch number, seeds pod-1 and 100-seed weight. Pod number plant-1, plant height, days to maturity (99%) exhibited maximum heritability (b.s.) then secondary branches plant-1, days to 50% flowering (98%), 100-seed weight, seed yield plant-1 (96%). Seed yield plant-1 showed maximum genetic advance as mean% (54.17) then plant height (50.93) and pods per    plant-1 (50.02). The seed yield plant-1 exhibited significant and positive correlation with pods plant-1, secondary branches plant-1, seeds pod-1 and 100-seed weight. By comprehending path coefficient maximum primary effect shown by pods plant-1 on seed yield plant-1 then seeds pod-1, 100-seed weight, primary branches plant-1.

scholarly journals Recognition and Determination of Related Traits Importance with Seed Yield in Chickpea (Cicer Aietinum)

2014 ◽  
Vol 68 (1) ◽  
pp. 15-24 ◽  
Author(s):  
Tayebeh Ghorbani ◽  
Kianoosh Cheghamirza ◽  
Kosar Bardideh ◽  
Parastoo Basili Shoar
Keyword(s):  
Direct Effect ◽  
Seed Yield ◽  
Indirect Effect ◽  
Seed Weight ◽  
Seed Number ◽  
Branch Number ◽  
Biological Yield ◽  
Pod Length ◽  
Pod Number

ABSTRACT To study the relationship between seed yield and its components 5 varieties and 18 different genotypes of Cicer arietinum were evaluated. This study was carried out under dryland farming during 2007 in research farm of Razi university. Path analysis showed that in the first level of yield, the highest direct effect was related to biological yield and the highest indirect effect was related to seed number per plant due to biological yield. In second level of yield due to the seed number per plant double seed pod number had the highest direct effect and the highest indirect effect was related to hundreds seed weight due to double the seed pod number. In second level of yield due to biological yield, the highest direct effect was related to high plant and the highest indirect effect was related to high plant due to second branch number. In the third level of yield due to a hundred seed weight, the highest direct effect was related to pod diameter and the highest indirect effect was related to pod length due to pod diameter. Factor analysis showed that 5 factors explained 81.65 percent of the variance. Cluster analysis based on ward method were arranged genotypes in 3 clusters.

Response of rapeseed (Brassica napus) to phosphorus, boron and lime on an acid soil near Canberra

1983 ◽  
Vol 23 (121) ◽  
pp. 172 ◽  
Author(s):  
LF Myers ◽  
J Lipsett ◽  
R Kirchner
Keyword(s):  
Brassica Napus ◽  
Field Experiment ◽  
Seed Yield ◽  
Seed Set ◽  
Acid Soil ◽  
Acid Soils ◽  
Manganese Toxicity ◽  
Flower Number ◽  
Stem Extension ◽  
Pod Number

The failure of a rape crop on a light-textured acid soil was investigated by a factorial field experiment with four rates of lime (0, 500, 1000 and 2000 kg/ha), four rates of phosphorus (0, 13, 28, 42 kg/ha) and, at stem extension, two levels of a boron spray (0, 0.6 kg/ha). The second crop failed in the same way as the first unless phosphorus was applied at sowing; the lowest rate was adequate, and higher rates did not increase the response. On the phosphate-treated plots the boron spray increased seed yield (measured on hand-harvested quadrats) substantially (75%) as the result of a small increase in flower number (32%) and a large increase in pod number (1 16%). Machine-harvested yields on the 'plus boron' plots were reduced by shattering and were 40% higher than controls (P<0.01). There was no response to lime applied one month before sowing and no interaction of lime with boron or phosphorus. The boron response was not lime-induced. The mechanism of the response to phosphorus and the questions raised by the lack of response in yield to lime in relation to aluminium and manganese toxicity were not resolved. The results indicate that phosphorus should receive at least as much attention as lime in the investigation of rape-growing on acid soils. Boron should also be investigated because of its important role in seed set of rape.

Responses of soybean genotypes to intercropping with maize in the Southern Guinea Savanna, Nigeria

2004 ◽  
Vol 52 (2) ◽  
pp. 157-163
Author(s):  
C. U. Egbo ◽  
M. A. Adagba ◽  
D. K. Adedzwa
Keyword(s):  
Seed Yield ◽  
Block Design ◽  
Field Trials ◽  
Yield Response ◽  
Ecological Zone ◽  
Land Equivalent Ratio ◽  
Guinea Savanna ◽  
Days To Maturity ◽  
Soybean Genotypes ◽  
Location Interaction

Field trials were conducted in the wet seasons of 1997 and 1998 at Makurdi, Otukpo and Yandev in the Southern Guinea Savanna ecological zone of Nigeria to study the responses of ten soybean genotypes to intercropping. The experiment was laid out in a randomised complete block design. The genotypes TGX 1807-19F, NCRI-Soy2, Cameroon Late and TGX 1485-1D had the highest grain yield. All the Land Equivalent Ratio (LER) values were higher than unity, indicating that there is great advantage in intercropping maize with soybean. The yield of soybean was positively correlated with the days to 50% flowering, days to maturity, plant height, pods/plant and leaf area, indicating that an improvement in any of these traits will be reflected in an increase in seed yield. There was a significant genotype × yield × location interaction for all traits. This suggests that none of these factors acted independently. Similarly, the genotype × location interaction was more important than the genotype × year interaction for seed yield, indicating that the yield response of the ten soybean genotypes varied across locations rather than across years. Therefore, using more testing sites for evaluation may be more important than the number of years.

scholarly journals Responses of Branch Number and Yield Component of Soybean Cultivars Tested in Different Planting Densities

Agriculture ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 69
Author(s):  
Cailong Xu ◽  
Ruidong Li ◽  
Wenwen Song ◽  
Tingting Wu ◽  
Shi Sun ◽  
...  
Keyword(s):  
Key Management ◽  
Management Practices ◽  
Yield Component ◽  
Planting Density ◽  
Yield Potential ◽  
High Yield ◽  
Branch Number ◽  
Soybean Yield ◽  
Soybean Cultivars ◽  
Pod Number

Increasing planting density is one of the key management practices to enhance soybean yield. A 2-yr field experiment was conducted in 2018 and 2019 including six planting densities and two soybean cultivars to determine the effects of planting density on branch number and yield, and analyze the contribution of branches to yield. The yield of ZZXA12938 was 4389 kg ha−1, which was significantly higher than that of ZH13 (+22.4%). In combination with planting year and cultivar, the soybean yield increased significantly by 16.2%, 31.4%, 41.4%, and 46.7% for every increase in density of 45,000 plants ha−1. Yield will not increase when planting density exceeds 315,000 plants ha−1. A correlation analysis showed that pod number per plant increased with the increased branch number, while pod number per unit area decreased; thus, soybean yield decreased. With the increase of branch number, the branch contribution to yield increased first, and then plateaued. ZH13 could produce a high yield under a lower planting density due to more branches, while ZZXA12938 had a higher yield potential under a higher planting density due to the smaller branch number and higher tolerance to close planting. Therefore, seed yield can be increased by selecting cultivars with a little branching capacity under moderately close planting.

Evaluation of Harvest-Aid Herbicides as Desiccants in Lentil Production

2016 ◽  
Vol 30 (3) ◽  
pp. 629-638 ◽  
Author(s):  
Ti Zhang ◽  
Eric N. Johnson ◽  
Christian J. Willenborg
Keyword(s):  
Adverse Effects ◽  
Crop Yield ◽  
Seed Yield ◽  
Yield Loss ◽  
Field Trials ◽  
Growth Stages ◽  
Yield And Quality ◽  
Seed Field ◽  
Dry Down ◽  
General Reduction

Desiccants are currently used to improve lentil dry-down prior to harvest. Applying desiccants at growth stages prior to maturity may result in reduced crop yield and quality, and leave unacceptable herbicide residues in seeds. There is little information on whether various herbicides applied alone or as a tank-mix with glyphosate have an effect on glyphosate residues in harvested seed. Field trials were conducted at Saskatoon and Scott, Saskatchewan, Canada, from 2012 to 2014 to determine whether additional desiccants applied alone or tank mixed with glyphosate improve crop desiccation and reduce the potential for unacceptable glyphosate residue in seed. Glufosinate and diquat tank mixed with glyphosate were the most consistent desiccants, providing optimal crop dry-down and a general reduction in glyphosate seed residues without adverse effects on seed yield and weight. Saflufenacil provided good crop desiccation without yield loss, but failed to reduce glyphosate seed residues consistently. Pyraflufen-ethyl and flumioxazin applied alone or tank mixed with glyphosate were found to be inferior options for growers as they exhibited slow and incomplete crop desiccation, and did not decrease glyphosate seed residues. Based on results from this study, growers should apply glufosinate or diquat with preharvest glyphosate to maximize crop and weed desiccation, and minimize glyphosate seed residues.

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