The combined effects of multiple diseases and climatic conditions on thousand kernel weight losses in winter wheat

Jevtić, Radivoje; Župunski, Vesna; Lalošević, Mirjana; Mladenov, Novica; Orbović, Branka

doi:10.1007/s10658-018-1494-8

Cited by 6 publications

(5 citation statements)

References 12 publications

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“…Linear regression of TKW on yield in 2014-2015 showed limited potential to make predictions of TKW of yield due to the low coefficient of determination (R 2 = 22.9 %, p < 0.001). Jevtić et al (2018) reported a similar R 2 of 11-22 % for linear regression between yield and TKW; however, their investigation was focused on combined effect of foliar pathogens and abiotic factors on yield and TKW of winter wheat. Factors related to the period before and right after anthesis are more critical for yielding than factors occurring in the grain filling period when kernel weight is defined (Herrera-Foessel et al, 2006); thus, moderate positive correlation between yield and TKW comes from partially or non-correlated changes in factors affecting wheat development at different growth stages.…”

Section: Discussionmentioning

confidence: 94%

“…As FHB has a direct effect on kernel weight and quality, contrary to indirect effect of foliar pathogens, this study hypothesized that FHB affects TKW and yield differently from reports on foliar pathogens by Jevtić et al (2018). Hence, the main objective of this study was to investigate variability in relationship between yield, TKW, FHB index, and FDK under field conditions.…”

Section: Introductionmentioning

confidence: 97%

“…However, reports show conflicts in terms of the effect of cultivars and fungicides on yield, FDK, or deoxynivalenol (DON) (Wegulo et al, 2011;Willyerd et al, 2012). In addition, Jevtić et al (2018) reported that different environmental factors could influence yield and TKW of winter wheat, but their investigation addressed only the combined effect of foliar pathogens and abiotic factors.…”

Section: Introductionmentioning

confidence: 99%

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The relationship between Fusarium head blight traits, thousand-kernel weight, and yield in winter wheat

Jevtić

Skenderović

Župunski

et al. 2022

Sci. agric. (Piracicaba, Braz.)

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Factors influencing Fusarium head blight (FHB) occurrence and yield losses in winter wheat have extensively been studied through the years; however, reports on the relationship between FHB traits and yield are conflicting. In addition, studies neglected the relationship between FHB traits and thousand-kernel weight (TKW). This study evaluated the variability in the relationship between FHB traits, TKW, and yield under field conditions, using 40 commercial winter wheat cultivars differing in resistance/susceptibility to FHB. In general, the FHB index had greater relation to yield, while Fusarium-damaged kernels (FDK) was more related to TKW. The relationship between yield, TKW, FHB index, and FDK was also determined by resistance/susceptibility of winter wheat cultivars. Fusarium-damaged kernels influenced yield more in moderately resistant (R 2 = 43 %) than in susceptible/moderately susceptible cultivars (R 2 = 27 %). The influence of the FHB index on TKW was weak (R 2 = 9 %) in susceptible/moderately susceptible cultivars and in moderately resistant ones (R 2 = 1 %). The potential to predict TKW from yield under pathogen pressure was limited due to the moderate-to-positive correlation between yield and TKW (r = 0.349, p < 0.001). This study provides insights into factors that influence TKW under FHB pathogen pressure and gives direction to more efficient and reliable investigations on grain resistance toward FHB.

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Section: Discussionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The relationship between Fusarium head blight traits, thousand-kernel weight, and yield in winter wheat

Jevtić

Skenderović

Župunski

et al. 2022

Sci. agric. (Piracicaba, Braz.)

Self Cite

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“…The combined effect of climatic conditions and multiple diseases led to a decrease in the quality of wheat grains, in terms of TKW values (Jevtić et al, 2018). TKW variation in relation to stress factors, such as water stress, heat stress, has been studied, associated with physiological processes and other quality indices, such as protein content (Kulyk et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Variation of the Thousand Kernel Weight in Wheat in Relation to NPK Mineral Fertilization

AGAPIE¹,

Sala²

2022

LSSD

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The study evaluated the variation of the thousand kernel weight (TKW), as an index of wheat quality, in relation to NPK mineral fertilization. The research took place at the Agricultural Research and Development Station Lovrin, Timis County, Romania. The Ciprian wheat variety was cultivated, on a chernozem type soil with medium fertility, under non-irrigated conditions. Nitrogen, phosphorus and potassium fertilizers were applied. Nitrogen (N) was applied in three fertilization levels 0, 60 and 120 kg ha-1; phosphorus (P) was applied in two fertilization levels, 0 and 60 kg ha-1; potassium was applied in four fertilization levels, 0, 40, 80 and 120 kg ha-1. From the combination of nutritional elements and applied doses, 16 experimental variants was evaluated, and the experiments were organized in four repetitions. The thousand kernel weight (TKW) was evaluated by measurement, with a laboratory balance with a precision of ±0.002 g. The ANOVA test confirmed the safety of the data and the presence of the variance in the data set (F=11.19783, Fcrit=2.80349, p<0.001), under conditions of Alpha=0.001. Strong correlations were identified between TKW and P (r=0.833) and weak correlations between TKW and N (r=0.672). The variation of TKW in relation to the nutritional elements applied was described by different equations, under statistical safety conditions, in relation to the elements taken into analysis. The direct and interaction effect of NPK on TKW variation was observed, under conditions of R2=0.898, p<0.001. 3D models and in the form of isoquants were generated, which graphically described the variation of TKW in relation to N (x-axis) and PK (y-axis). The cluster analysis facilitated the grouping of the experimental variants based on the Euclidean distances, in relation to the TKW values, under statistical safety conditions (Coph.corr.=0.806).

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“…Una de las variables de mayor importancia para la industria molinera que engloba la calidad física del grano es el peso hectolítrico el cual se relaciona con la capacidad de extracción de harina, dichas características del grano son influenciadas por el genotipo, el medio ambiente y el manejo agronómico (Nuttall et al, 2017). De tal modo que la incidencia de la roya amarilla disminuye el llenado del grano y por lo tanto incrementa la aparición de granos chupados, los cuales se asocian a pérdidas en el peso de mil granos (Serrago et al, 2011;Jevtić et al, 2018) y bajo peso hectolítrico que ocasionan durante la molienda disminución en la extracción de harina o rendimiento harinero (Dimmock y Gooding, 2002). Por otro lado, Blandino y Reyneri (2009) indicaron que mediante el control químico de las enfermedades foliares no se afectó el contenido de proteína en la harina.…”

Section: Introductionunclassified

La incidencia de roya amarilla y la calidad industrial del grano y la masa en trigo harinero

Martínez-Crúz

Buendía-Ayala

Mir

et al. 2019

Remexca

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Dado que la incidencia de la roya amarilla en trigo afecta la calidad física del grano, así como el de la harina y masa. El objetivo de ésta investigación fue evaluar el efecto de la roya amarilla en la calidad física del grano y de la masa en función de la presencia y ausencia de la enfermedad en genotipos de trigo harinero. Los genotipos se sembraron bajo temporal en un diseño experimental de bloques al azar con dos repeticiones en un arreglo de parcelas divididas, en la parcela grande estuvieron los tratamientos con y sin fungicida y en las chicas las variedades. La incidencia de roya amarilla fue natural y el fungicida utilizado fue Folicur®. En campo se estimó el porcentaje de incidencia de roya amarilla y en el laboratorio la calidad física evaluó: el porcentaje de granos llenos y chupados, su largo y ancho, el peso de mil granos, peso hectolítrico, así como dureza de grano, rendimiento harinero, proteína en harina, volumen de sedimentación y tiempo de amasado. Se realizó un análisis de varianza y correlaciones de Pearson y las medias se compararon con la prueba de Tukey. La roya amarilla disminuyó la calidad física del grano y el rendimiento harinero. Los genotipos con incidencia menores al 20 % de roya con y sin la aplicación del fungicida presentaron menores pérdidas en porcentaje de granos llenos, peso de mil granos, peso hectolítrico y rendimiento harinero. Mientras que en la mayoría de los genotipos el contenido de proteína en harina y las variables evaluadas en la masa no mostraron diferencias con y sin la presencia de la enfermedad. Por lo que el uso de genotipos tolerantes a la roya amarilla se relacionó con una mayor calidad física del grano, pero no con la de harina y masa.

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The combined effects of multiple diseases and climatic conditions on thousand kernel weight losses in winter wheat

Cited by 6 publications

References 12 publications

The relationship between Fusarium head blight traits, thousand-kernel weight, and yield in winter wheat

The relationship between Fusarium head blight traits, thousand-kernel weight, and yield in winter wheat

Variation of the Thousand Kernel Weight in Wheat in Relation to NPK Mineral Fertilization

La incidencia de roya amarilla y la calidad industrial del grano y la masa en trigo harinero

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