scholarly journals Genotype by year interaction for selected quantitative traits in hybrid lines of Triticum aestivum L. with Aegilops kotschyi Boiss. and Ae. variabilis Eig. using the additive main effects and multiplicative interaction model

Euphytica ◽  
2022 ◽  
Vol 218 (2) ◽  
Author(s):  
Jan Bocianowski ◽  
Roman Prażak
Keyword(s):  
Triticum Aestivum ◽  
Selection Index ◽  
Interaction Model ◽  
Triticum Aestivum L ◽  
Field Trials ◽  
Multiplicative Interaction ◽  
Breeding Programmes ◽  
Ammi Model ◽  
Main Effects ◽  
Hybrid Lines

AbstractThis study estimated the genotype × environment interactions for ten yield associated traits in advanced generation hybrids of several cultivars of common wheat (Triticum aestivum L.) with Aegilops kotschyi Boiss. and A. variabilis Eig. using the additive main effects and multiplicative interaction (AMMI) models. Tests were ran over five years at one location in replicated field trials. The AMMI model showed significant genotypic and environmental effects for all analysed traits. A majority of the hybrid lines were less stable in the analysed traits than their parental wheats. The older wheat cultivars, with lower environmental sensitivity, were the most stable. The best total genotype selection index, for all ten traits combined, was observed for the oldest cvs. Gama and Rusałka, and among the hybrid lines, for Ae. kotschyi/Rusałka//Smuga and Ae. kotschyi/Rusałka//Muza. The lines Ae. kotschyi/Rusałka//Smuga, Ae. kotschyi/Rusałka//Muza, Ae. kotschyi/Rusałka//Korweta, Ae. kotschyi/Rusałka//Begra///Smuga, and Ae. kotschyi/Rusałka//Begra///Turnia are recommended for inclusion in breeding programmes due to their greater stability and the good average values for the observed traits.

scholarly journals Evaluation of Yield Stability of Bread wheat (Triticum aestivum L.) Genotypes using Additive Main Effects and Multiplicative Interaction (AMMI)

2018 ◽  
Vol 10 (25) ◽  
pp. 73-80
Author(s):  
Saeed Omrani ◽  
Amir Mohammad Naji ◽  
Mohsen Esmaeil Zadeh Moghadam ◽  
◽  
◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Bread Wheat ◽  
Triticum Aestivum L ◽  
Yield Stability ◽  
Multiplicative Interaction ◽  
Main Effects

scholarly journals Utilization of Evolutionary Plant Breeding Increases Stability and Adaptation of Winter Wheat Across Diverse Precipitation Zones

2020 ◽  
Vol 12 (22) ◽  
pp. 9728
Author(s):  
Lance F. Merrick ◽  
Steven R. Lyon ◽  
Kerry A. Balow ◽  
Kevin M. Murphy ◽  
Stephen S. Jones ◽  
...  
Keyword(s):  
Disease Resistance ◽  
Plant Breeding ◽  
Protein Concentration ◽  
Triticum Aestivum L ◽  
Field Trials ◽  
Breeding Method ◽  
Ammi Model ◽  
Agronomic Quality ◽  
Main Effects ◽  
Resistance Stability

Evolutionary plant breeding (EPB) is a breeding method that was used to create wheat (Triticum aestivum L.)-evolving populations (EP), bi-parental and composite-cross populations (BPPs and CCPs), by using natural selection and bulking of seed to select the most adaptable, diverse population in an environment by increasing the frequency of favorable alleles in a heterogeneous population. This study used seven EPs to evaluate EPB in its ability to increase the performance of agronomic, quality, and disease resistance traits and adaptability across different precipitation zones. The populations were tested in field trials in three diverse locations over 2 years. Least significant differences showed the EPs performance was dependent on their pedigree and were statistically similar and even out-performed some of their respective parents in regards to grain yield, grain protein concentration, and disease resistance. Stability models including Eberhart and Russel’s deviation from Regression (S2di), Shukla’s Stability Variance (σi2), Wricke’s Ecovalance (Wi), and the multivariate Additive Main Effects and Multiplicative Interaction (AMMI) model were used to evaluate the adaptability of the EPs and their parents. The BPPs and CCPs demonstrated significantly greater stability over the parents across precipitation zones, confirming the capacity of genetically diverse EP populations to adapt to different environments.

scholarly journals Genotype by environment interaction for main winter triticale varieties characteristics at two levels of technology using additive main effects and multiplicative interaction model

Euphytica ◽  
2021 ◽  
Vol 217 (2) ◽  
Author(s):  
Jan Bocianowski ◽  
Anna Tratwal ◽  
Kamila Nowosad
Keyword(s):  
Field Experiments ◽  
Block Design ◽  
Interaction Model ◽  
Field Trials ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Multiplicative Interaction ◽  
Winter Triticale ◽  
Genotype By Environment ◽  
Main Effects

AbstractThe aim of this study was to assess genotype by environment interaction for grain yield, plant height and thousand-grain weight in winter triticale cultivars by the additive main effects and multiplicative interaction (AMMI) model. The study comprised of ten winter triticale varieties i.e.: Algoso, Baltiko, Grenado, Magnat, Moderato, Pawo, Todan, Trimester, Trismart and Witon. Field trials were performed at seven locations in three years (21 environments) in a randomized complete block design, with two replicates at two levels of cultivation technology (standard – A1 and intensive – A2). Field experiments were carried out as part of Post Registration Variety Trials in Wielkopolska region. AMMI analyses revealed significant genotype and environmental effects as well as genotype by environmental interaction with respect to all three observed traits in both levels of cultivation intensity. The cultivars Algoso, Baltiko and Trimester are recommended for further inclusion in the breeding programs because of their stability and good average values of observed traits.

scholarly journals Tracking Changes on Soil Structure and Organic Carbon Sequestration after 30 Years of Different Tillage and Management Practices

Agronomy ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 291
Author(s):  
Ramón Bienes ◽  
Maria Jose Marques ◽  
Blanca Sastre ◽  
Andrés García-Díaz ◽  
Iris Esparza ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Organic Carbon ◽  
Management Practices ◽  
Management Strategies ◽  
Triticum Aestivum L ◽  
Field Trials ◽  
Conventional Tillage ◽  
Soil Parameters ◽  
Wilting Point

Long-term field trials are essential for monitoring the effects of sustainable land management strategies for adaptation and mitigation to climate change. The influence of more than thirty years of different management is analyzed on extensive crops under three tillage systems, conventional tillage (CT), minimum tillage (MT), and no-tillage (NT), and with two crop rotations, monoculture winter-wheat (Triticum aestivum L.) and wheat-vetch (Triticum aestivum L.-Vicia sativa L.), widely present in the center of Spain. The soil under NT experienced the largest change in organic carbon (SOC) sequestration, macroaggregate stability, and bulk density. In the MT and NT treatments, SOC content was still increasing after 32 years, being 26.5 and 32.2 Mg ha−1, respectively, compared to 20.8 Mg ha−1 in CT. The SOC stratification (ratio of SOC at the topsoil/SOC at the layer underneath), an indicator of soil conservation, increased with decreasing tillage intensity (2.32, 1.36, and 1.01 for NT, MT, and CT respectively). Tillage intensity affected the majority of soil parameters, except the water stable aggregates, infiltration, and porosity. The NT treatment increased available water, but only in monocropping. More water was retained at the permanent wilting point in NT treatments, which can be a disadvantage in dry periods of these edaphoclimatic conditions.

scholarly journals Effects of NP Fertilizer Placement Depth by Year Interaction on the Number of Maize (Zea mays L.) Plants after Emergence Using the Additive Main Effects and Multiplicative Interaction Model

Agronomy ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1543
Author(s):  
Piotr Szulc ◽  
Jan Bocianowski ◽  
Kamila Nowosad ◽  
Henryk Bujak ◽  
Waldemar Zielewicz ◽  
...  
Keyword(s):  
Zea Mays ◽  
Zea Mays L ◽  
Interaction Model ◽  
Fertilizer Application ◽  
Fertilizer Placement ◽  
Multiplicative Interaction ◽  
Maize Cultivation ◽  
Main Effects ◽  
Placement Depth ◽  
Np Fertilizer

Field experiments were carried out at the Department of Agronomy of the Poznań University of Life Sciences to determine the effect of the depth of NP fertilization placement in maize cultivation on the number of plants after emergence. The adopted assumptions were verified based on a six-year field experiment involving four depths of NP fertilizer application (A1—0 cm (broadcast), A2—5 cm (in rows), A3—10 cm (in rows), A4—15 cm (in rows)). The objective of this study was to assess NP fertilizer placement depth, in conjunction with the year, on the number of maize (Zea mays L.) plants after emergence using the additive main effects and multiplicative interaction model. The number of plants after emergence decreased with the depth of NP fertilization in the soil profile, confirming the high dependence of maize on phosphorus and nitrogen availability, as well as greater subsoil loosening during placement. The number of plants after emergence for the experimental NP fertilizer placement depths varied from 7.237 to 8.201 plant m−2 during six years, with an average of 7.687 plant m−2. The 61.51% of variation in the total number of plants after emergence was explained by years differences, 23.21% by differences between NP fertilizer placement depths and 4.68% by NP fertilizer placement depths by years interaction. NP fertilizer placement depth 10 cm (A3) was the most stable (ASV = 1.361) in terms of the number of plants after emergence among the studied NP fertilizer placement depths. Assuming that the maize kernels are placed in the soil at a depth of approx. 5 cm, the fertilizer during starter fertilization should be placed 5 cm to the side and below the kernel. Deeper NP fertilizer application in maize cultivation is not recommended. The condition for the use of agriculture progress, represented by localized fertilization, is the simultaneous recognition of the aspects of yielding physiology of new maize varieties and the assessment of their reaction to deeper seed placement during sowing.

scholarly journals Peningkatan Nutrisi Tanaman Serealia Menggunakan Actinobacteria Endofit

Agrikultura ◽  
2015 ◽  
Vol 26 (1) ◽  
Author(s):  
Kartika Sari
Keyword(s):  
Triticum Aestivum ◽  
Manganese Content ◽  
Xylem Sap ◽  
Zinc Content ◽  
Nutrient Content ◽  
Triticum Aestivum L ◽  
Field Trials ◽  
Nutrient Analysis ◽  
Nutrient Enhancement ◽  
Pot Trial

ABSTRACTNutrient Enhancement In Cereal Crops Using Actinobacterial EndophytesWheat high demand without sufficient production and Actinobacterial endophytes usage limitation inIndonesia motivated this research. The aim was to determine Actinobacterial endophytes effect on nutrientenhancement in wheat (Triticum aestivum L.). It was hypothesized that they can enhance wheat nutrient.The experiment stages were: 1) Pot-Trial I, confirming nutrient enhancement using Actinobacteria in 6 soiltypes; 2) Pot-Trial II, screening Actinobacteria strains; and 3) Field-Trial. The results showed thatActinobacteria effects varied for different nutrients and site based differences. In Pot-Trial I, different soiltypes significantly affected the manganese and zinc content (P=0.00 and P=0.01), but not inoculation ofActinobacteria nor the combination of them. Field Trials showed the same trends. Combination betweenthose treatments significantly affected manganese content (P=0.045). Nutrient analysis on xylem sap in PotTrials 2 only showed the value differences since there was insufficient collected volume to be statisticallyanalyzed. Zinc and iron contents were the highest in Actinobacteria EUM165 treatment and the highestmanganese content in Actinobacteria EN16. In conclusion, wheat nutrient content is affected byActinobacteria and different soil types but there was insufficient evidence to generally conclude that it canbe enhanced. They have their own effects and affected each other in enhancing nutrient content.Keywords: Nutreint, wheat, endophytic ActinobacteriaABSTRAKTingginya permintaan gandum tidak disertai produksi yang cukup, serta terbatasnya pemanfaatanActinobacteria endofit di Indonesia, melatarbelakangi penelitian ini. Tujuannya untuk mengetahuipengaruh penambahan Actinobacteria endofit terhadap nutrisi gandum (Triticum aestivum L.). Diduga,penambahan Actinobacteria endofit dapat meningkatkan kandungan nutrisinya. Tahapan penelitianmeliputi: 1) Uji-Pot I, mengonfirmasi peningkatan nutrisi gandum menggunakan Actinobacteria pada 6 jenistanah; 2) Uji-Pot II, menguji berbagai strain Actinobacteria terhadap peningkatan nutrisi gandum; serta 3)Uji Lapangan. Hasilnya menunjukkan bahwa Actinobacteria meningkatkan nutrisi gandum secara berbedatergantung nutrisi yang diuji serta jenis tanah yang digunakan. Pada Uji-Pot I, jenis tanah berpengaruhnyata terhadap kandungan mangan dan seng (P=0.00 dan P=0.01), tapi pemberian Actinobacteria maupunkombinasi keduanya tidak. Uji Lapangan menunjukkan hasil yang sama. Kombinasi kedua perlakuanmeningkatkan kandungan mangan secara signifikan (P=0.045). Analisis cairan xilem dari Uji-Pot IImenunjukkan perbedaan hasil tanpa uji statistik karena terbatasnya cairan yang dikumpulkan. Kandungantertinggi seng dan zat besi ditunjukkan oleh perlakuan Actinobacteria EUM165 dan mangan yang lebihtinggi oleh Actinobacteria EN16. Disimpulkan bahwa kandungan nutrisi tanaman gandum dapatdipengaruhi oleh pemberian Actinobacteria endofit serta perbedaan jenis tanah, namun tidak cukup buktiuntuk menyimpulkannya secara umum. Baik jenis tanah maupun Actinobacteria endofit memiliki pengaruhsendiri serta saling mempengaruhi terhadap kandungan nutrisi tanaman gandum.Kata kunci: Nutrisi, gandum, actinobacteria endofit

scholarly journals Genotype by environment interaction for physiological traits in sugar beet (Beta vulgaris L.) parents and hybrids using additive main effects and multiplicative interaction model

2021 ◽  
Author(s):  
Zahra Abbasi ◽  
Jan Bocianowski
Keyword(s):  
Sugar Beet ◽  
Beta Vulgaris ◽  
Interaction Model ◽  
Genotype By Environment Interaction ◽  
Physiological Traits ◽  
Environment Interaction ◽  
Extraction Coefficient ◽  
Multiplicative Interaction ◽  
Genotype By Environment ◽  
Main Effects

AbstractThe objective of this study was to assess genotype by environment interaction for 21 physiological traits in sugar beet (Beta vulgaris L.) parents and hybrids grown in Rodasht Agricultural Research Station in Iran by the additive main effects and multiplicative interaction model. The study comprised of 51 sugar beet genotypes [10 multigerm pollen parents, four monogerm seed parents and 36 F1 hybrids], evaluated at four environments in a randomized complete block design, with three replicates. The additive main effects and multiplicative interaction analyses revealed significant environment main effects with respect to all observed traits, except extraction coefficient of sugar. The additive main effects and multiplicative interaction stability values ranged from 0.009 (G17 for leaf Ca2+) to 9.698 (G09 for extraction coefficient of sugar). The parental forms 2 7233-P.29 (G38) and C CMS (G49) as well as hybrids 2(6)*C (G27) and 5*C (G33) are recommended for further inclusion in the breeding programs because of their stability and good average values of observed traits.

SELECTION FOR YIELD, KERNEL WEIGHT AND PROTEIN CONTENT IN EARLY GENERATIONS OF SIX WHEAT CROSSES

1988 ◽  
Vol 68 (3) ◽  
pp. 641-649 ◽  
Author(s):  
H. GEBRE-MARIAM ◽  
E. N. LARTER ◽  
L. E. EVANS
Keyword(s):  
Triticum Aestivum ◽  
Protein Content ◽  
Selection Index ◽  
Correlation Coefficients ◽  
Triticum Aestivum L ◽  
Kernel Weight ◽  
High Protein ◽  
Selection Indices ◽  
Different Populations ◽  
Relative Potential

Early generation data consisting of F1 heterosis, F1, F2 and F3 mean performances, parent-offspring regression, and F2–F3 intergeneration correlation were used to identify potentially promising spring wheat (Triticum aestivum L. em Thell) crosses in terms of yield, kernel weight and protein content. The F1 test identified one high-yielding cross out of six showing significant level of higher parent (38%) and mid-parent (70%) heterosis for yield, respectively. The top yielding cross, viz. Glenlea × NB505, in F1 was also the second highest yielding population in F2 and the best yielder in F3 based on two locations. Hence, although F2 single plant productivity measurements misplaced the rankings of some of the crosses, F1 and F3 performances indicated the relative potential of the different populations. Most crosses showed nonsignificant F2–F3 regression and correlation coefficients for yield but significant coefficients for kernel weight. For protein content highly significant F2–F3 regression and correlation coefficients were observed only for crosses involving the high protein parent. The use in F1 of weight-free selection indices involving yield, kernel weight and protein content ranked Glenlea × NB505 as the best of six populations whereas in F3 the same cross had the best aggregate merit when only yield and kernel weight were considered in the index. The inclusion of protein content in the index favored a high protein cross, Sinton × Glenlea.Key words: Wheat, Triticum aestivum, heterosis, parent-offspring regression, intergeneration correlation, selection index

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