scholarly journals Variation and Stability in Agronomic Traits Among Geographic Groups of Traditional Landraces Grown Under High Yielding Conditions

2021 ◽  
Author(s):  
Peter Hoebe ◽  
Rodrigo Alegria Terrazas ◽  
Stephen Hoad ◽  
Kairsty Topp
Keyword(s):  
Phenotypic Variation ◽  
Crop Production ◽  
Agronomic Traits ◽  
Phenotypic Expression ◽  
Geographic Origin ◽  
High Yield ◽  
Test Protocol ◽  
Barley Landrace ◽  
Significant Difference ◽  
Growing Conditions

Abstract Future crop production needs to deliver increased yields with less agronomic inputs in the face of increasingly variable climate, which is predicted to result in greater seasonal variation in production. To support more sustainable production, new crop varieties need to have increased resilience in their agronomic traits to cope with fluctuation in growing conditions. We investigated the breadth of phenotypic expression in yield related agronomic traits among groups of European barley landrace from different geographic origin and Harlan composite cross populations grown under a common high yield test protocol. Stability of agronomic traits and yield were assessed for each group across environments and years. There were significant differences in thousand grain weight (TGW), seeds per ear and shoot production (tillering) among landrace groups and between 2 or 6 rowed ear habit. Modern cultivars and, to a lesser extent, Harlan populations had significantly more stable TGW than other groups. Traits most strongly associated with yield stability in 2 rowed landraces were TGW and tillering, whilst in 6 rowed landraces tillering, ear length and plant height were associated with stable yield. Absence of significant difference in agronomic trait stability among landrace groups was attributed to high phenotypic variation within groups. We conclude that phenotypic variation and stability in agronomic traits among barley landraces could be exploited for enhancing resilience in future crop breeding.

Evaluation of Agronomic Traits of Sponge Gourd (Luffa cylindrica) Inbred Lines Under Plastic House in Thua Thien Hue

2017 ◽  
Vol 126 (3E) ◽  
Author(s):  
Trương Thị Hồng Hải ◽  
Nguyễn Thị Diệu Thể ◽  
Phan Thu Thảo
Keyword(s):  
Skin Color ◽  
Agronomic Traits ◽  
Block Design ◽  
Leaf Traits ◽  
Pure Line ◽  
Inbred Lines ◽  
Fruit Shape ◽  
Yield Potential ◽  
High Yield ◽  
Sponge Gourd

In order to establish the pure line of sponge gourd containing aroma feature, we selected the desirable inbred lines by using a self-pollinating method. The present study was investigated to estimate the morphological traits and fruit quality of 6 sponge gourd inbred lines which generated at 4th generation of an aroma Luffa accession B29 under plastic house conditions. The experiment was conducted in a randomized complete block design (RCBD) with three replications, from May to November in 2016. Five plants per replication were examined. The results indicated that all inbred lines could grow well under plastic house conditions. The inbred lines had the same stem and leaf traits; whereas fruit shape, skin color and fruit veins color were observed differently among inbred lines. The aromatic trait was retained in all inbred lines either before or after cooking. The high yield was found in lines BC1 and BC2 by 10.1 tons/ha and 10.7 tons/ha, respectively. These inbred lines should be examined in open field condition to confirm the presence of aromatic trait and yield potential before completion of the procedures for recognition of new Luffa varieties.  

scholarly journals MULTIPLE ALLELE APPROACH TO THE STUDY OF GENES IN DROSOPHILA MELANOGASTER THAT ARE INVOLVED IN IMAGINAL DISC DEVELOPMENT

Genetics ◽  
1978 ◽  
Vol 89 (2) ◽  
pp. 355-370 ◽  
Author(s):  
Allen Shearn ◽  
Grafton Hersperger ◽  
Evelyn Hersperger ◽  
Ellen Steward Pentz ◽  
Paul Denker
Keyword(s):  
Drosophila Melanogaster ◽  
Phenotypic Variation ◽  
Mutant Allele ◽  
Imaginal Disc ◽  
Reference Allele ◽  
Multiple Allele ◽  
Significant Difference ◽  
Chromosome Mutations ◽  
Cold Sensitive

ABSTRACT The phenotypes of five different lethal mutants of Drosophila melanogaster that have small imaginal discs were analyzed in detail. From these results, we inferred whether or not the observed imaginal disc phenotype resulted exclusively from a primary imaginal disc defect in each mutant. To examine the validity of these inferences, we employed a multiple-allele method. Lethal alleles of the five third-chromosome mutations were identified by screening EMS-treated chromosomes for those which fail to complement with a chromosome containing all five reference mutations. Twenty-four mutants were isolated from 13,197 treated chromosomes. Each of the 24 was then tested for complementation with each of the five reference mutants. There was no significant difference in the mutation frequencies at these five loci. The stage of lethality and the imaginal disc morphology of each mutant allele were compared to those of its reference allele in order to examine the range of defects to be found among lethal alleles of each locus. In addition, hybrids of the alleles were examined for intracistronic complementation. For two of the five loci, we detected no significant phenotypic variation among lethal alleles. We infer that each of the mutant alleles at these two loci cause expression of the null activity phenotype. However, for the three other loci, we did detect significant phenotypic variation among lethal alleles. In fact, one of the mutant alleles at each of these three loci causes no detectable imaginal disc defect. This demonstrates that attempting to assess the developmental role of a gene by studying a single mutant allele may lead to erroneous conclusions. As a byproduct of the mutagenesis procedure, we have isolated two dominant, cold-sensitive mutants.

scholarly journals Identification of the Optimum Environments for the High Yield and Quality Traits of Lentil Genotypes Evaluated in Multi-Location Trials

2021 ◽  
Vol 13 (15) ◽  
pp. 8247
Author(s):  
Dimitrios N. Vlachostergios ◽  
Christos Noulas ◽  
Anastasia Kargiotidou ◽  
Dimitrios Baxevanos ◽  
Evangelia Tigka ◽  
...  
Keyword(s):  
Crude Protein ◽  
Agronomic Traits ◽  
High Yield ◽  
Breeding Programs ◽  
Growing Seasons ◽  
Yield And Quality ◽  
Food And Feed ◽  
Superior Genotypes ◽  
Selection Of ◽  
The Ideal

Lentil is a versatile and profitable pulse crop with high nutritional food and feed values. The objectives of the study were to determine suitable locations for high yield and quality in terms of production and/or breeding, and to identify promising genotypes. For this reason, five lentil genotypes were evaluated in a multi-location network consisting of ten diverse sites for two consecutive growing seasons, for seed yield (SY), other agronomic traits, crude protein (CP), cooking time (CT) and crude protein yield (CPY). A significant diversification and specialization of the locations was identified with regards to SY, CP, CT and CPY. Different locations showed optimal values for each trait. Locations E4 and E3, followed by E10, were “ideal” for SY; locations E1, E3 and E7 were ideal for high CP; and the “ideal” locations for CT were E3 and E5, followed by E2. Therefore, the scope of the cultivation determined the optimum locations for lentil cultivation. The GGE-biplot analysis revealed different discriminating abilities and representativeness among the locations for the identification of the most productive and stable genotypes. Location E3 (Orestiada, Region of Thrace) was recognized as being optimal for lentil breeding, as it was the “ideal” or close to “ideal” for the selection of superior genotypes for SY, CP, CT and CPY. Adaptable genotypes (cv. Dimitra, Samos) showed a high SY along with excellent values for CP, CT and CPY, and are suggested either for cultivation in many regions or to be exploited in breeding programs.

scholarly journals Fungicide Application Affects Nitrogen Utilization Efficiency, Grain Yield, and Quality of Winter Wheat

Agronomy ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1295
Author(s):  
Ahossi Patrice Koua ◽  
Mirza Majid Baig ◽  
Benedict Chijioke Oyiga ◽  
Jens Léon ◽  
Agim Ballvora
Keyword(s):  
Synergistic Effect ◽  
Grain Yield ◽  
Crop Production ◽  
Agronomic Traits ◽  
Yellow Rust ◽  
Wheat Yield ◽  
Utilization Efficiency ◽  
High Nitrogen ◽  
Available N ◽  
Fungicide Application

Nitrogen (N) is a vital component of crop production. Wheat yield varies significantly under different soil available N. Knowing how wheat responds to or interacts with N to produce grains is essential in the selection of N use efficient cultivars. We assessed in this study variations among wheat genotypes for productivity-related traits under three cropping systems (CS), high-nitrogen with fungicide (HN-WF), high-nitrogen without fungicide (HN-NF) and low-nitrogen without fungicide (LN-NF) in the 2015, 2016 and 2017 seasons. ANOVA results showed genotypes, CS, and their interactions significantly affected agronomic traits. Grain yield (GY) increased with higher leaf chlorophyll content, importantly under CS without N and fungicide supply. Yellow rust disease reduced the GY by 20% and 28% in 2015 and 2016, respectively. Moreover, averaged over growing seasons, GY was increased by 23.78% under CS with N supply, while it was greatly increased, by 52.84%, under CS with both N and fungicide application, indicating a synergistic effect of N and fungicide on GY. Fungicide supply greatly improved the crop ability to accumulate N during grain filling, and hence the grain protein content. Recently released cultivars outperformed the older ones in most agronomic traits including GY. Genotype performance and stability analysis for GY production showed differences in their stability levels under the three CS. The synergistic effect of nitrogen and fungicide on grain yield (GY) and the differences in yield stability levels of recently released wheat cultivars across three CS found in this study suggest that resource use efficiency can be improved via cultivar selection for targeted CS.

scholarly journals Agro-Nanotechnology as an Emerging Field: A Novel Sustainable Approach for Improving Plant Growth by Reducing Biotic Stress

2021 ◽  
Vol 11 (5) ◽  
pp. 2282
Author(s):  
Masudulla Khan ◽  
Azhar U. Khan ◽  
Mohd Abul Hasan ◽  
Krishna Kumar Yadav ◽  
Marina M. C. Pinto ◽  
...  
Keyword(s):  
Plant Growth ◽  
Crop Yield ◽  
Biotic Stress ◽  
Crop Production ◽  
Plant Disease ◽  
Yield Loss ◽  
Growth Parameters ◽  
Plant Diseases ◽  
High Yield ◽  
Plant Disease Management

In the present era, the global need for food is increasing rapidly; nanomaterials are a useful tool for improving crop production and yield. The application of nanomaterials can improve plant growth parameters. Biotic stress is induced by many microbes in crops and causes disease and high yield loss. Every year, approximately 20–40% of crop yield is lost due to plant diseases caused by various pests and pathogens. Current plant disease or biotic stress management mainly relies on toxic fungicides and pesticides that are potentially harmful to the environment. Nanotechnology emerged as an alternative for the sustainable and eco-friendly management of biotic stress induced by pests and pathogens on crops. In this review article, we assess the role and impact of different nanoparticles in plant disease management, and this review explores the direction in which nanoparticles can be utilized for improving plant growth and crop yield.

High prevalence of familial and genetic disease in children with cardiomyopathies: baseline paediatric data from the ESC EORP Cardiomyopathy and Myocarditis registry

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
J.P Kaski ◽  
A.G Maggioni ◽  
P Charron ◽  
P.M Elliott ◽  
J.R Gimeno ◽  
...  
Keyword(s):  
Genetic Testing ◽  
Genetic Disease ◽  
Arrhythmogenic Right Ventricular Cardiomyopathy ◽  
Neuromuscular Disorders ◽  
High Yield ◽  
Causative Mutation ◽  
Inborn Errors ◽  
Male Predominance ◽  
Familial Disease ◽  
Significant Difference

Abstract Background Previous studies on paediatric cardiomyopathies have provided useful information on their epidemiology and clinical presentation but have been limited by a lack of detailed data on genetic testing and aetiology. Purpose The purpose of this study was to examine the frequency of familial and genetic disease among children with cardiomyopathy enrolled in the European Society of Cardiology (ESC) Cardiomyopathy and Myocarditis EORP Long-Term Registry (CMY-LT). Methods 633 individuals aged <18 years with hypertrophic cardiomyopathy [HCM; n=387 (61%)], dilated cardiomyopathy (DCM; n=205 (33%)], restrictive cardiomyopathy [RCM; n=28 (4%)] and arrhythmogenic right ventricular cardiomyopathy [ARVC; n=11 (2%)] were enrolled by 26 centres from 14 countries. Mean age at diagnosis was 5.2 (±5.4) years and there was a male predominance [n=372 (59%)] across all cardiomyopathy subtypes, with the exception of DCM in those diagnosed <10 years of age (p=0.005). 541 (87%) were probands compared to 83 (13%) first-degree relatives. Results Overall, 253 patients (47% of those reported) had familial disease; in those diagnosed between 10 and 18 years of age, familial disease was most frequent in HCM and least frequent in DCM [57 (55%) vs 12 (32%); p=0.046]. Genetic testing was performed in 414 (68%) patients. In those diagnosed <10 years, genetic testing was more frequently performed in HCM [128 (67%) vs 33 (37%) in DCM, 10 (56%) in RCM and 1 (50%) in ARVC; p=0.008]; in those aged 10–18, genetic testing was most frequent in ARVC [n=8 (89%)] followed by HCM [n=81 (69%)], RCM [n=1 (50%)] and DCM [n=22 (46%); p=0.007]. A causative mutation was reported in 250 patients (60%), with a higher yield in those aged 10–18 vs <10 years [77 (69%) vs 172 (57%), p=0.032]. In those <10 years, the prevalence of reported causative mutations was highest in HCM [128 (67%) vs 10 (56%) in RCM, 1 (50%) in ARVC and 33 (37%) in DCM; p<0.001]; in those 10–18 years, there was no significant difference in prevalence of reported causative variants between cardiomyopathy subtypes. Rare disease phenocopies were reported in 171 patients (27%): malformation syndromes [n=75 (12%)]; neuromuscular disorders [n=49 (8%)]; inborn errors of metabolism [n=20 (3%)]; mitochondrial [n=18 (3%)]; and chromosomal [n=15 (2%)]. Phenocopies were reported most frequently in patients <10 years [135 (30%) vs 35 (20%) in those aged 10–18 years; p=0.008], particularly in HCM in those <10 years [n=110 (41%); p<0.001 vs other subtypes] and DCM in those aged 10–18 years [n=18 (38%); p=0.03 vs other subtypes]. Conclusion This study confirms the heterogeneous aetiology of childhood cardiomyopathies and demonstrate a higher prevalence of familial disease than previously reported in paediatric populations. Genetic testing is performed in a high proportion of patients, with a high yield of reported causative variants. Funding Acknowledgement Type of funding source: None

scholarly journals Response of Two Chickpea (Cicer arietinum L.) Varieties to Rates of Blended Fertilizer and Row Spacing at Tselemti District, Northern Ethiopia

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Tesfahun Mekuanint ◽  
Yemane Tsehaye ◽  
Yemane G. Egziabher
Keyword(s):  
Yield Components ◽  
Agronomic Traits ◽  
Row Spacing ◽  
Northern Ethiopia ◽  
Cicer Arietinum L ◽  
Significant Difference ◽  
Main Effect ◽  
Main Plot ◽  
Fertilizer Rates ◽  
Plot Design

Effects of row spacing, blended fertilizer rates, and varieties on some agronomic traits of chickpea were evaluated with the objective of investigating response of Kabuli and Desi type chick pea varieties to blended fertilizers rates and interrow spacing. The study was done using split plot design interrow spacing as a main plot, and fertilizer and variety as a subplot, where three row spacings (20 cm, 30 cm, and 40 cm) were assigned to the main plot while the factorial combination of four blended (NPSB) fertilizer rates (0 kg/ha, 50 kg/ha, 100 kg/ha, and 150 kg/ha) and representative of Kabuli and Desi type chickpea varieties such as Arerti and Mariye, respectively, were assigned to the subplot. Main effect of interrow spacing did not show significant difference on many studied agronomic parameters. Similarly, main effect of blended fertilizer rates and varieties did not reveal a significant difference for the studied parameters. However, significant differences were obtained on phenology, yield components, and yield for the varieties. Blended fertilizer rates utilized in Tselemti District did not show differences in most of studied traits. Reasonable row spacing of 20 cm for both types of chickpea could be used for the studied area.

scholarly journals Effect of Nitrogen Fertilizer on some Attributes of SorghumGrown in Saline Soil under Irrigation

2018 ◽  
Vol 1 (2) ◽  
pp. 12-17
Author(s):  
Abubaker Haroun M.Adam ◽  
Mohammed Ahmed Taleim
Keyword(s):  
Nitrogen Fertilizer ◽  
Cultural Practices ◽  
Agronomic Traits ◽  
Optimal Level ◽  
Agronomic Characters ◽  
College Of Agriculture ◽  
Nitrogen Levels ◽  
Significant Difference ◽  
Number Of Leaves ◽  
Sorghum Bicolor L

The main objective of this study was to investigate the effects of 4 levels of Nitrogen (N) fertilizer (0, 25, 50 and 75 Kg N/fed) on some attributes of Sorghum (Sorghum bicolor L). This study was conducted in the farm of College of Agriculture, University of Bahri-Sudan; during the period 2014-2015. Where the soil is classified as saline with pH ranging from 7.5 -7.8. A randomized completely block designed (RCBD); with 3 replications and four (4) treatments was adopted. All recommended cultural practices were carried out timely. Data; pertaining some plant attributes were collected and analyzed. The result showed that the application of 75KgN/fed has increased both; the average number of leaves as well as the plant height compared to other levels of Nitrogen fertilizer including the control (Figure 1, Figure 2). For the average number of tillers concern, there is non -significant difference between all Nitrogen levels and average number of tillers (Figure 3). The study concluded that the Nitrogen fertilizer has variable effects on the studied agronomic characters, and the application of 75kgN/fed is the optimal level of fertilizer for improving the agronomic traits of Sorghum under Alkadaro conditions.

scholarly journals Efektivitas Metode Seleksi Pedigree dan Modified Bulk pada Tiga Populasi Sorgum (Sorghum bicolor [L.] Moench)

2020 ◽  
Vol 47 (3) ◽  
pp. 275-282
Author(s):  
Dewi Andriani ◽  
Desta Wirnas ◽  
Dan Trikoesoemaningtyas
Keyword(s):  
Plant Height ◽  
Agronomic Traits ◽  
Test Results ◽  
Selection Methods ◽  
Coefficients Of Variation ◽  
Significant Difference ◽  
Pedigree Selection ◽  
High Heritability ◽  
Augmented Design ◽  
Materials Used

Sorghum has a growing popularity for food, feed, biofuel, and therefore needs to be developed. The research aimed to compare the effectiveness of pedigree and modified bulk selection methods for improving yield in three sorghum populations. The genetic materials used were 60 F6 lines from three populations, namely PI 10-90-A x Numbu, PI 150-20-A x Numbu and PI 150-20-A x Kawali which had been selected using pedigree and modified bulk methods. The experiment was conducted from October 2018 to February 2019 at the Cikabayan Experimental Station of IPB University, Dramaga, Bogor. The experiment was arranged in an augmented design with six checks, namely Kawali, Numbu, PI 10-90-A, PI 150-20-A, Samurai 1, and Samurai 2 which were replicated four times. Observations were made on agronomic traits and yield. Plant height and grain weight per panicle had high heritability and large genotypic coefficients of variation. The contrast test results showed significant differences between populations in plant height, panicle length, days of harvesting and 100-seed weight. On the other hand, no significant difference was observed among selection methods, indicating that both methods were equally effective for increasing sorghum yield. The pedigree selection and modified bulk selection increased grain yield per panicle by 14.1 g and 18.2 g respectively. Bulk of the best genotypes in early generation could be an alternative of bulk selection method. Keywords: contrast test, differential selection, genotypic coefficient of variation, heritability

scholarly journals Enviromic assembly increases accuracy and reduces costs of the genomic prediction for yield plasticity

2021 ◽  
Author(s):  
Germano MF Costa-Neto ◽  
Jose M F Crossa ◽  
Roberto F Fritsche-Neto
Keyword(s):  
Phenotypic Variation ◽  
Field Trials ◽  
Proof Of Concept ◽  
Tropical Maize ◽  
Early Screening ◽  
Environmental Similarity ◽  
Genetic And Environmental Factors ◽  
Growing Conditions ◽  
Algorithm Scheme

Quantitative genetics states that phenotypic variation is a consequence of genetic and environmental factors and their subsequent interaction. Here, we present an enviromic assembly approach, which includes the use of ecophysiology knowledge in shaping environmental relatedness into whole-genome predictions (GP) for plant breeding (referred to as E-GP). We propose that the quality of an environment is defined by the core of environmental typologies (envirotype) and their frequencies, which describe different zones of plant adaptation. From that, we derive markers of environmental similarity cost-effectively. Combined with the traditional genomic sources (e.g., additive and dominance effects), this approach may better represent the putative phenotypic variation across diverse growing conditions (i.e., phenotypic plasticity). Additionally, we couple a genetic algorithm scheme to design optimized multi-environment field trials (MET), combining enviromic assembly and genomic kinships to provide in-silico realizations of the future genotype-environment combinations that must be phenotyped in the field. As a proof-of-concept, we highlight E-GP applications: (1) managing the lack of phenotypic information in training accurate GP models across diverse environments and (2) guiding an early screening for yield plasticity using optimized phenotyping efforts. Our approach was tested using two non-conventional cross-validation schemes to better visualize the benefits of enviromic assembly in sparse experimental networks. Results on tropical maize show that E-GP outperforms benchmark GP in all scenarios and cases tested. We show that for training accurate GP models, the genotype-environment combinations' representativeness is more critical than the MET size. Furthermore, we discuss theoretical backgrounds underlying how the intrinsic envirotype-phenotype covariances within the phenotypic records of (MET) can impact the accuracy of GP and limits the potentialities of predictive breeding approaches. The E-GP is an efficient approach to better use environmental databases to deliver climate-smart solutions, reduce field costs, and anticipate future scenarios.

Sign in / Sign up

Export Citation Format

Share Document