Variation of Phytoestrogen Content and Major Agronomic Traits in Alfalfa (Medicago sativa L.) Populations

Alfalfa is the main perennial legume and a rich source of phytoestrogens. Variation of phytoestrogen content and agronomic traits was evaluated in twenty alfalfa populations over two consecutive years. The most dominant phytoestrogen in alfalfa populations was genistein, while slightly lower levels were found for kaempferol and coumestrol. Several populations (Af 1, 12, 18, 19, 20) showed superior agronomic performance, especially high forage yield (up to 71.93 t ha−1). These populations were also characterized by a lower (Af 1, 12, 18, 20) or high (Af 1, 19) content of total and individual phytoestrogens, including Af 8 population with the highest total content (2637.10 μg g-1 of DM) and content of most of the individual phytoestrogens and favorable agronomic properties. Ward hierarchical clustering method grouped the twenty evaluated populations into four distinct clusters. Identified materials provide a valuable source of germplasm for further breeding programs in order to develop new high-yielding cultivars with either low (for forage use) or high (for possible pharmaceuticals/nutraceuticals industries) phytoestrogen content.

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Agronomic performance and stability and of grain yield of f2 populations maize hybrids

Scientific Electronic Archives ◽

10.36560/13920201118 ◽

2020 ◽

Vol 13 (9) ◽

pp. 1

Author(s):

C. S. Bernini ◽

P. S. Guimarães

Keyword(s):

Experimental Design ◽

Agronomic Traits ◽

Agronomic Performance ◽

Breeding Programs ◽

Maize Hybrids ◽

Maize Populations ◽

Wide Range ◽

Significant Difference ◽

Different Types ◽

Productive Potential

In Brazil, corn is grown in a wide variety of environments, investments and technologies, requiring the development of different types of hybrids. Breeding programs aim to identify genotypes with productive potential combined with better adaptation and stability. The objective of this work was to evaluate 28 hybrids of F2 maize populations, obtained from a complete diallel, together with the eight parent F2 populations and two commercial witnesses, regarding the main agronomic traits: male flowering (FM), plant height and ear ( AP and AE) and grain mass (MG) and estimate the parameters of adaptability and stability. The experiments were developed in 2008/2009 and 2009/2010, in three locations in the State of São Paulo (Campinas, Mococa and Palmital) and the experimental design used was the randomized blocks with three replications. Individual and joint analyzes of variance were performed, the means being grouped by the Scott-Knott test and the parameters of adaptability and stability estimated by the methods of Eberhart and Russell (1966) and Annicchiarico (1992). There was a significant difference (P <0.01) for treatments, locations and interaction between treatments in all evaluated characters. The average for MG was 7,515 kg ha-1, highlighting the hybrid P4 x P1 with MG of 9,095 kg ha-1. The average of hybrids was 40.5% higher than that of parental F2 populations. The hybrids of F2 populations differ in terms of adaptability and stability for MG, with the majority of hybrids (82%) showing general adaptability. The P4xP1 and P4xP2 hybrids are superior to MG and are promising for recommendation in a wide range of environments.

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Importance of agronomic traits in the individual selection process in sugarcane determined using the logistic regression

Acta Scientiarum Agronomy ◽

10.4025/actasciagron.v38i3.28424 ◽

2016 ◽

Vol 38 (3) ◽

pp. 289 ◽

Cited By ~ 3

Author(s):

Bruno Portela Brasileiro ◽

Luiz Alexandre Peternelli ◽

Luís Cláudio Inácio Silveira ◽

Márcio Henrique Pereira Barbosa

Keyword(s):

Logistic Regression ◽

Decision Trees ◽

Agronomic Traits ◽

Selection Process ◽

Logistic Models ◽

Error Rates ◽

Mass Selection ◽

Breeding Programs ◽

Sib Families ◽

The Individual

The aim of this study was to evaluate the importance of agronomic traits during the selection of sugarcane (Saccharum spp.), as well as to evaluate the potential for using logistic regression and decision trees to identify the best genotypes. A total of 7,719 seedlings of 128 half-sib families were evaluated during the first test phase (T1), and 659 clones were selected for the second (T2). Logistic regression was applied to both populations. The number of stalks, bud prominence and length of the internode were the most important selection traits in the T1 population. The plant vigor, stalk diameter and stalk height were the most important selection traits in the T2 population. There were 174 individuals selected when using the mass selection method in T1 and 113 individuals in T2, whereas a logistic regression selected 153 individuals in T1 and 79 in T2. The apparent error rates of the logistic models fitted to the selections in T1 and T2 were 0.8 and 5.10%, respectively. By using a decision tree, 67 clones were selected among the most productive ones in phase T2. Therefore, the formulation of decision trees is highly applicable to identifying potential clones during the initial phases of breeding programs.

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Forage Yield and the Quality of Perennial Legume-Grass Mixtures under Rainfed Conditions

Notulae Botanicae Horti Agrobotanici Cluj-Napoca ◽

10.15835/nbha3915853 ◽

2011 ◽

Vol 39 (1) ◽

pp. 114 ◽

Cited By ~ 10

Author(s):

Sebahattin ALBAYRAK ◽

Mevlüt TÜRK ◽

Osman YÜKSEL ◽

Murat YILMAZ

Keyword(s):

Binary Mixtures ◽

Forage Yield ◽

Ternary Mixtures ◽

Crested Wheatgrass ◽

Protein Levels ◽

Yield And Quality ◽

Binary And Ternary Mixtures ◽

Rainfed Conditions ◽

Perennial Legume ◽

High Forage

This study was performed to determine suitable perennial forage species and their mixtures for the establishment of short-term artificial pastures under rainfed conditions in Turkey. The study was conducted from 2008 through 2010. Alfalfa (Medicago sativa L.), sainfoin (Onobrychis sativa Lam.), brome grass (Bromus inermis Leys.), intermediate wheatgrass (Agropyron intermedium (Host). Beauv.), crested wheatgrass (Agropyron cristatum L. Gaertn.) and their binary and ternary mixtures were used as experimental material. The study found significant differences in yield and quality among the forage mixtures investigated. Sainfoin + bromegrass + crested wheatgrass and sainfoin + crested wheatgrass mixtures gave the highest dry matter yield (8.36 and 7.75 t/ha, respectively). Binary and ternary mixtures of alfalfa + grasses had higher crude protein levels and lower values of ADF and NDF content than mixtures of sainfoin + grasses. Pure alfalfa (56.64%) and binary mixtures of alfalfa + grasses (53.53 to 54.28%) had the highest TDN values. The relative feed values of the mixtures ranged from 95.64 to 112.58. The results of the study indicated that alfalfa and sainfoin binary mixtures with grasses may both be used to establish artificial pastures in similar ecologies owing to their high forage yield and quality.

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Bridgeview alfalfa

Canadian Journal of Plant Science ◽

10.4141/cjps2011-114 ◽

2012 ◽

Vol 92 (1) ◽

pp. 203-206 ◽

Cited By ~ 3

Author(s):

S. N. Acharya ◽

H. Steppuhn

Keyword(s):

Dry Matter ◽

Agricultural Research ◽

Forage Yield ◽

Research Centre ◽

Testing System ◽

Western Canada ◽

Salt Tolerant ◽

Medicago Sativa L ◽

High Forage ◽

Better Than

Acharya, S. N. and Steppuhn, H. 2012. Bridgeview alfalfa. Can. J. Plant Sci. 92: 203–206. Bridgeview salt tolerant alfalfa (Medicago sativa L.) was developed by the Agriculture and Agri-Food Canada Research Centre, Lethbridge, Alberta in cooperation with the salt laboratory at Semiarid Prairie Agricultural Research Centre, Swift Current, Saskatchewan. This synthetic cultivar, tested as SC-A101 in the Western Forage Testing System (WFTest), was developed for improved seedling vigor and high forage yield under saline conditions. This cultivar yielded about 1% better than Beaver check in the WFTest over 36 location years. The pedigree of this cultivar consists of saline tolerant selections from Apica, AC Blue J, Barrier, Beaver, Heinrichs, Rangelander and Roamer alfalfa. This cultivar produced higher dry matter yield than Beaver in the third year of a test conducted in a naturally saline seep area in Vauxhall, AB. SC-A101 was found to perform significantly higher emergence, survival and biomass production than Rangelander alfalfa in an indoor test at salt levels higher than 16 dS m−8. Bridgeview was registered by CFIA on 2011 May 16 (Reg. No. 7018) and was licensed to SeCan for seed multiplication and distribution. This cultivar is well suited for hay production in western Canada.

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Selection of Hancornia speciosa germplasm accessions based on the FAI-BLUP index

Pesquisa Agropecuária Tropical ◽

10.1590/1983-40632021v5167226 ◽

2021 ◽

Vol 51 ◽

Author(s):

Gabriella Queiroz de Almeida ◽

João Romero Amaral Santos de Carvalho Rocha ◽

Herika Paula Pessoa ◽

Flávia Maria Alves ◽

Lázaro José Chaves

Keyword(s):

Agronomic Traits ◽

Selection Index ◽

Natural Populations ◽

Germplasm Collection ◽

Breeding Programs ◽

Fruit Species ◽

Support Strategies ◽

The Individual ◽

Hancornia Speciosa ◽

Selection Of

ABSTRACT Hancornia speciosa Gomes is one of the native fruit species most frequent in the Brazilian Savanna. Studies on the genetic variability of quantitative traits for this species are scarce and the identification of accessions with the best agronomic traits may support strategies for conservation and breeding programs. This study aimed to estimate the genetic diversity of accessions from the H. speciosa germplasm collection of the Universidade Federal de Goiás (Goiânia, Goiás state, Brazil) and rank them based on a selection index combining eleven agronomic traits. A total of 192 individual accessions from 57 progenies, from 29 natural populations, were evaluated. The data were subjected to multivariate analysis and the individuals and progenies evaluated using the FAI-BLUP selection index. The Tocher cluster analysis allowed grouping the progenies into ten divergent clusters and the individuals into 18 divergent clusters. The simultaneous selection of traits based on the FAI-BLUP index may be recommended while maintaining the potential variability in the population resulting from the recombination. The individual selection proved to be more effective than the selection based on progenies means, because it exploits the genetic variation among and within progenies.

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Biometric evaluation of morpho-agronomic traits in pepper lines and hybrids

Horticultura Brasileira ◽

10.1590/s0102-053620180312 ◽

2018 ◽

Vol 36 (3) ◽

pp. 357-361 ◽

Cited By ~ 1

Author(s):

Valter C Andrade Júnior ◽

Carlos E Pedrosa ◽

Thalita G Miranda ◽

Nermy R Valadares ◽

Samuel L Pereira ◽

...

Keyword(s):

Agronomic Traits ◽

Dry Mass ◽

Fresh Mass ◽

Agronomic Performance ◽

Capsicum Chinense ◽

Breeding Programs ◽

Phenotypic Correlations ◽

Fruit Productivity ◽

Genetic Dissimilarity ◽

Mass Information

ABSTRACT In this study, we aimed to evaluate pepper lines and hybrids (Capsicum chinense and C. annuum) in order to obtain information on agronomic performance, heterosis, heterobeltiosis, phenotypic correlations and genetic dissimilarity. We evaluated lines PIM-030, BGH-433, BGH-4285, Numex Sweet, Numex Garnet and simple hybrids Numex Sweet x PIM-030, Numex Garnet x PIM-030 and BGH-4285 x BGH-433. The research was conducted with eight treatments and four replications in a greenhouse, at campus JK of UFVJM. Twenty two agronomic traits were evaluated. The hybrid BGH-4285 x BGH-433 presents higher heterosis and heterobeltiosis for total fruit productivity and productivity of total fruit dry mass, information of great value for future breeding studies. The authors noticed that larger plants tend to be more productive and present higher fruit fresh mass and also fruits with thicker pericarp, as well as larger fruits having longer pedicels with denser seeds, important for production of paprika. Lines BGH-433, BGH-4285 and PIM-030 are the most recommended to be used in breeding programs.

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Oat genotypic requirement for intercropping with vetch under Mediterranean conditions

The Journal of Agricultural Science ◽

10.1017/s0021859621000071 ◽

2021 ◽

pp. 1-12

Author(s):

D. Baxevanos ◽

I. T. Tsialtas ◽

O. Voulgari ◽

C. I. Pankou ◽

D. Vlachostergios ◽

...

Keyword(s):

Crude Protein ◽

Agronomic Traits ◽

N Fertilization ◽

Forage Yield ◽

Net Energy ◽

Common Vetch ◽

Acid Detergent Fibre ◽

Feeding Value ◽

Yield Quality ◽

High Forage

Abstract Oat (Avena spp. L.) intercropped with common vetch (Vicia sativa L.) has shown high forage yield and crude protein content (CP) in rainfed Mediterranean environments of Greece. The objective was to study the oat genotypic interactions for yield, quality and agronomic traits of four oat accessions (cv. Flega and lines B2, B3 and B4) grown as intercrops with a common vetch cultivar (Pegasus) and as monocrops without or with nitrogen (N) supplementation (100 kg N/ha). In all mixtures, the land equivalent ratio exceeded the unit indicating that there was a yield advantage. Intercrops produced, on average, 5.0% less dry matter (DM) and 38.9% more crude protein yield (CPY) compared to monocropped oats with N fertilization and 3.4% more DM and 75.5% more CPY compared to monocropped oats without N fertilization. The DM, CP and quality differences between the intercropped and monocropped oats were attributed to oats by vetch cultivar interactions. The oat B2 intercropped was the shortest, the latest flowering and the less vigorous early in the season, a trait that allowed common vetch to dominate in the intercrop (vetch participation 770 g/kg). The high vetch fragment in the intercrop contributed to high CP, CPY, acid detergent lignin, total digestible nutrients, relative feeding value, relative forage quality, net energy for lactation and to low neutral detergent fibre, acid detergent fibre and hemicellulose. The replacement value index indicated that the intercrop was 21% more economically viable in comparison to the fertilized monocrop.

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

Sustainability ◽

10.3390/su13158247 ◽

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.

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Forage Potential of Cereal/Legume Intercrops: Agronomic Performances, Yield, Quality Forage and LER in Two Harvesting Times in a Mediterranean Environment

Agronomy ◽

10.3390/agronomy11010121 ◽

2021 ◽

Vol 11 (1) ◽

pp. 121

Author(s):

Monica Bacchi ◽

Michele Monti ◽

Antonio Calvi ◽

Emilio Lo Presti ◽

Antonio Pellicanò ◽

...

Keyword(s):

Crop Yield ◽

Competitive Ability ◽

Agronomic Traits ◽

Italian Ryegrass ◽

Forage Yield ◽

Biological Efficiency ◽

Common Vetch ◽

Sole Crop ◽

Cereal Grain ◽

Green Fodder

The crop yield and quality of seven annual forages (four grasses and three legumes) in sole crop and in mixtures (ratio 50:50) for oat (Avena sativa L.), Italian ryegrass (Lolium multiflorum Lam.), triticale (x Triticosecale Wittmack), barley (Hordeum vulgare L.), pea (Pisum sativum L.), berseem (Trifolium alexandrinum L.) and common vetch (Vicia sativa L.) were evaluated in a two-year field experiment adopting two harvesting times, green fodder and silage. The main bio-agronomic traits, dry matter forage yield (DMY) and quantity of crude protein (CP) were determined in both sole crop and intercrop. The land equivalent ratio (LER) was used for evaluating biological efficiency and competitive ability of the intercrops. Our results showed that the total calculated LER for fodder and protein yields was always greater than one and corresponded to crop yield advantages of 16.0% and 11.5%, respectively. Our data also highlighted the low competitive ability of the ryegrass in intercrop, which achieved the lowest yield among all the mixtures. Conversely, the same grass showed the best green fodder quality, due to the high incidence of the legume, equal (on average) to 46%. Triticale and barley, harvested for silage (hard dough stage), provided the best quantitative and qualitative results both in sole crop and intercropped with common vetch and pea, determined mainly by the cereal grain.

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Recent advances in CRISPR/Cas9 and applications for wheat functional genomics and breeding

aBIOTECH ◽

10.1007/s42994-021-00042-5 ◽

2021 ◽

Author(s):

Jun Li ◽

Yan Li ◽

Ligeng Ma

Keyword(s):

Functional Genomics ◽

Genome Editing ◽

Functional Annotation ◽

Genome Engineering ◽

Agronomic Traits ◽

Wheat Breeding ◽

Breeding Programs ◽

Base Editing ◽

The World ◽

World Food Security

AbstractCommon wheat (Triticum aestivum L.) is one of the three major food crops in the world; thus, wheat breeding programs are important for world food security. Characterizing the genes that control important agronomic traits and finding new ways to alter them are necessary to improve wheat breeding. Functional genomics and breeding in polyploid wheat has been greatly accelerated by the advent of several powerful tools, especially CRISPR/Cas9 genome editing technology, which allows multiplex genome engineering. Here, we describe the development of CRISPR/Cas9, which has revolutionized the field of genome editing. In addition, we emphasize technological breakthroughs (e.g., base editing and prime editing) based on CRISPR/Cas9. We also summarize recent applications and advances in the functional annotation and breeding of wheat, and we introduce the production of CRISPR-edited DNA-free wheat. Combined with other achievements, CRISPR and CRISPR-based genome editing will speed progress in wheat biology and promote sustainable agriculture.

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