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001-es BibID:	BIBFORM118443
035-os BibID:	(Scopus)85183187117
Első szerző:	Mirzaei, Morad
Cím:	Crop Residues Stimulate Yield-Scaled Greenhouse Gas Emissions In Maize-Wheat Cropping Rotation In A Semi-Arid Climate / Morad Mirzaei, Manouchehr Gorji Anari, Maurício Roberto Cherubin, Nermina Saronjic, Seyed Mohammad Nasir Mousavi, Azin Rooien, Mohammad Zaman, Andrés Caballero-Calvo
Dátum:	2024
ISSN:	2071-9388 2542-1565
Megjegyzések:	Mitigating yield-scaled greenhouse gas emissions (YSE) is beneficial for enhancing crop yield, reducing greenhouse gas (GHG) emissions, and advancing climate-smart agronomic management practices. This study aims to evaluate the impact of different crop residue rates? 100% (R100), 50% (R50), and residue removal (R0) ? on the YSE indicator within a maize-wheat cropping rotation under both conventional tillage (CT) and no-tillage (NT) systems in a semi-arid region. In the NT system, crop residues had a notable effect on the YSE indicator for wheat. Specifically, R0 exhibited a 39% and 20% decrease in YSE for wheat compared to R100 and R50, respectively. Interestingly, crop residue did not significantly influence YSE for maize under the NT system. On the other hand, in the CT system, YSE for maize in R0 was 33% and 25% lower than that in R100 and R50, respectively. Additionally, compared to R0, there were observed increases of 28% and 20% in YSE for wheat in R100 and R50 under the CT system, respectively. Our findings show that crop residue removal decreases YSE under both CT and NT systems. However, given that this practice degrades soil quality and results in lower yields, it is not considered a sustainable management practice compared to residue retention options. This research highlights the importance of evaluating GHG mitigation strategies by concurrently considering both emissions and crop production. Nevertheless, it is essential to conduct off-site assessments of GHG emissions from crop residue application and also engage in long-term studies to comprehend the full potential of crop residue management on YSE.
Tárgyszavak:	Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk climate change conservation agriculture cropping system food security greenhouse gas emissions oil health soil management
Megjelenés:	Geography, Environment, Sustainability. - 16 : 4 (2024), p. 125-132. -
További szerzők:	Anari, Manouchehr Gorji Cherubin, Maurício Roberto Saronjic, Nermina Mousavi, Seyed Mohammad Nasir (1988-) (agrármérnök) Rooien, Azin Zaman, Mohammad Caballero-Calvo, Andrés
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM112188
035-os BibID:	(cikkazonosító)8945 (Scopus)85161694421 (WoS)001003826200001
Első szerző:	Shojaei, Seyed Habib (agrármérnök)
Cím:	Sustainability on different canola (Brassica napus L.) cultivars by GGE Biplot Graphical Technique in multi-environment / Seyed Habib Shojaei, Khodadad Mostafavi, Seyed Hamed Ghasemi, Mohammad Reza Bihamta, Árpád Illés, Csaba Bojtor, János Nagy, Endre Harsányi, Adrienn Széles, Seyed Mohammad Nasir Mousavi
Dátum:	2023
ISSN:	2071-1050
Megjegyzések:	Knowledge about the extent of genotype in environment interaction is helpful for farmers and plant breeders. This is because it helps them choose the proper strategies for agricultural management and breeding new cultivars. The main contribution of this paper is to investigate genotype on environmental interaction using the GGE biplot method (Genotype and the Genotypeby-Environment) in ten canola cultivars. The experimental design was a randomized complete block design (RCBD) with three replications to assess the stability of grain yield of ten canola cultivars in five regions of Iran, including Birjand, Karaj, Kashmar, Sanandaj, and Shiraz, within two agricultural years of 2016 and 2017. The results of combined ANOVA illustrated that the effects of the environment, genotype x environment, and genotype were highly significant at 1%. Variance Analysis showed that three environmental impacts, genotype, and interaction of genotype in the environment effect, produced 68.44%, 18.63%, and 12.9% of the total variance. The GGE biplot graphs were constructed using PCA. The first principle component (PC1) explained 65.3%, and the second (PC2) explained 18.8% of the total variation. The research examined polygon diagrams to identify two top genotypes and four mega-environments. Also, the appropriate genotypes for each environment were diagnosed. Using the GGE biplot, it was possible to make visual comparisons and identify superior genotypes in canola. Accordingly,. The results obtained from graphical analysis indicated that Licord, Hyola 401 and Okapi genotypes showed the highest yield and were selected as the most stable genotypes. Also, Karaj region was chosen as a experimental region where the screening of genotypes was very suitable. Based on the ranking of the genotypes in the most suitable region (Karaj), Okapi genotype was selected as the desired genotype. In examining the heatmap drawn between the genotypes and the investigated environments, a lot of similarity between the genotypes of Sarigal, Hyola 401 and Okapi was observed in the investigated environments. The GGE biplot graphs enabled the detection of stable and superior environments and the grouping of cultivars and environments based on grain yield. The results of this research can be used both for extension and for future breeding programs. Our results provide helpful information about the canola genotypes and environments for future breeding programs.
Tárgyszavak:	Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk canola combined analysis genotype in environment interaction GGE biplot
Megjelenés:	Sustainability. - 15 : 11 (2023), p. 1-14. -
További szerzők:	Mostafavi, Khodadad Ghasemi, Seyed Hamed Bihamta, Mohammad Reza Illés Árpád (1994-) (növényorvos) Bojtor Csaba (1993-) (okleveles növényorvos) Nagy János (1951-) (agrármérnök, mérnök-tanár) Harsányi Endre (1976-) (agrármérnök) Vad Attila (1981-) (agrármérnök) Széles Adrienn (1980-) (okleveles agrármérnök) Mousavi, Seyed Mohammad Nasir (1988-) (agrármérnök)
Pályázati támogatás:	TKP2021-NKTA-32 Egyéb
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat DOI
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