Abstracts
Choosing the right sowing dates can maximize the outcomes of the interaction between genotype and environment, thus increasing grain yield and baking quality of wheat (Triticum aestivum L.). The present study aimed at determining the most appropriate sowing dates that maximize grain yield and baking quality of wheat cultivars. Seven wheat cultivars (BRS 179, BRS Guamirim, BRS Guabiju, BRS Umbu, Safira, CD 105 and CD 115) were evaluated at four sowing dates (the 1st and the 15th of June and July) in two harvesting seasons (2007 and 2008). The study was setup in a completely randomized block design with four repetitions. The effects of the year and sowing date when combined explained 93% of the grain yield variance. In 2007, the CD 105 and Safira cultivars had the highest grain yield (GY) for all sowing dates. Only the BRS Guabiju and Safira cultivars possessed high baking quality for all sowing dates assessed. In 2008, the environmental conditions were favorable for superior GY, but the baking quality was inferior. Considering adapted cultivars and sowing dates, it is possible to maximize grain yield and baking quality of wheat.
GGE biplot; baking quality; gluten strength; alveograph
A escolha de épocas de semeadura adequadas pode maximizar o aproveitamento da interação genótipo x ambiente e incrementar a produtividade de grãos e a qualidade industrial de trigo (Triticum aestivum L.). Objetivou-se com o estudo identificar épocas de semeadura adequadas que maximizam a produtividade de grãos e a qualidade industrial de cultivares de trigo. Sete cultivares de trigo (BRS 179, BRS Guamirim, BRS Guabiju, BRS Umbu, Safira, CD 105 e CD 115) foram avaliadas em quatro épocas de semeadura (01 e 15 de junho, 01 e 15 de julho) durante duas safras agrícolas (2007 e 2008). Utilizou-se delineamento em blocos ao acaso com quatro repetições. Somados, os efeitos de ano e épocas de semeadura explicaram 93% da variância para produtividade de grãos. Em 2007, as cultivares CD 105 e Safira apresentaram a maior produtividade de grãos (GY) em todas as épocas de semeadura. Apenas as cultivares BRS Guabiju e Safira apresentaram elevada qualidade de panificação em qualquer época de semeadura avaliada. Em 2008, as condições ambientais foram favoráveis ao aumento da GY, contudo de menor qualidade industrial. É possível maximizar a GY e a qualidade industrial do trigo com a escolha de cultivares adaptadas e épocas de semeadura mais adequadas.
GGE biplot; qualidade industrial; força de glúten; alveografia
CROP PRODUCTION
Grain yield and baking quality of wheat under different sowing dates
Produtividade de grãos e qualidade industrial de trigo em diferentes épocas de semeadura
Raphael Rossi SilvaI; Giovani BeninII,** Author for correspondence. E-mail: benin@utfpr.edu.br; Juliano Luiz de AlmeidaIII; Inês Cristina de Batista FonsecaI; Claudemir ZucareliI
IDepartamento de Agronomia, Centro de Ciências Agrárias, Universidade Estadual de Londrina, Londrina, Paraná, Brazil
IIDepartamento de Agronomia, Universidade Tecnológica Federal do Paraná, Rodovia PR-469, km 1, 85503-390, Pato Branco, Paraná, Brazil
IIIFundação Agrária de Pesquisa Agropecuária, Guarapuava, Paraná, Brazil
ABSTRACT
Choosing the right sowing dates can maximize the outcomes of the interaction between genotype and environment, thus increasing grain yield and baking quality of wheat (Triticum aestivum L.). The present study aimed at determining the most appropriate sowing dates that maximize grain yield and baking quality of wheat cultivars. Seven wheat cultivars (BRS 179, BRS Guamirim, BRS Guabiju, BRS Umbu, Safira, CD 105 and CD 115) were evaluated at four sowing dates (the 1st and the 15th of June and July) in two harvesting seasons (2007 and 2008). The study was setup in a completely randomized block design with four repetitions. The effects of the year and sowing date when combined explained 93% of the grain yield variance. In 2007, the CD 105 and Safira cultivars had the highest grain yield (GY) for all sowing dates. Only the BRS Guabiju and Safira cultivars possessed high baking quality for all sowing dates assessed. In 2008, the environmental conditions were favorable for superior GY, but the baking quality was inferior. Considering adapted cultivars and sowing dates, it is possible to maximize grain yield and baking quality of wheat.
Keywords: GGE biplot, baking quality, gluten strength, alveograph.
RESUMO
A escolha de épocas de semeadura adequadas pode maximizar o aproveitamento da interação genótipo x ambiente e incrementar a produtividade de grãos e a qualidade industrial de trigo (Triticum aestivum L.). Objetivou-se com o estudo identificar épocas de semeadura adequadas que maximizam a produtividade de grãos e a qualidade industrial de cultivares de trigo. Sete cultivares de trigo (BRS 179, BRS Guamirim, BRS Guabiju, BRS Umbu, Safira, CD 105 e CD 115) foram avaliadas em quatro épocas de semeadura (01 e 15 de junho, 01 e 15 de julho) durante duas safras agrícolas (2007 e 2008). Utilizou-se delineamento em blocos ao acaso com quatro repetições. Somados, os efeitos de ano e épocas de semeadura explicaram 93% da variância para produtividade de grãos. Em 2007, as cultivares CD 105 e Safira apresentaram a maior produtividade de grãos (GY) em todas as épocas de semeadura. Apenas as cultivares BRS Guabiju e Safira apresentaram elevada qualidade de panificação em qualquer época de semeadura avaliada. Em 2008, as condições ambientais foram favoráveis ao aumento da GY, contudo de menor qualidade industrial. É possível maximizar a GY e a qualidade industrial do trigo com a escolha de cultivares adaptadas e épocas de semeadura mais adequadas.
Palavras-chave: GGE biplot, qualidade industrial, força de glúten, alveografia.
Introduction
Wheat (Triticum aestivum L.) is an important and extensively used cereal in human and animal diets worldwide. In Brazil, a significant amount of wheat is imported not only because this country produces only half of its internal consumption but also because the wheat produced has inferior baking quality in some regions of Brazil. Increases in grain yield (GY) and baking quality are crucial for wheat crop competitiveness. Such increases may be accessible based upon the selection of adapted cultivars and adequate management practices.
In wheat, GY and baking quality are dependent on the environment, genetic factors and the interaction between them (YAN; HOLLAND, 2010; COVENTRY et al., 2011). An adequate sowing date positively impacts the GY (SILVA et al., 2011) and baking quality of wheat, causing better adjustment to the physiology, phenology and environmental conditions (WHEELER et al., 1996; RIBEIRO et al., 2009). In addition, the appropriate sowing date also affects the water, temperature and solar radiation available for the crop.
Wheat GY can be increased by 10 to 80% with management of the sowing date, cultivar and environmental conditions (COVENTRY et al., 2011). Similarly, baking quality is also influenced by sowing date (SINGH et al., 2010). Adverse environmental conditions during anthesis and grain filling are important factors in the baking quality classification of wheat (JIANG et al., 2009). Each sowing date determines the baking quality pattern of the wheat (TRIBOI; TRIBOI-BLONDEL, 2002; MOTZO et al., 2007). However, it is difficult to obtain high GY and baking quality due to a negative association between these characteristics (BLANCO et al., 2011).
Thus, the present study aimed at determining the most appropriate sowing dates that maximize grain yield and baking quality of wheat cultivars for the wheat cropping region of central south of the state of Paraná.
Material and methods
The experiment was performed in the municipality of Guarapuava (25º33'S and 51º30'W; altitude of 1,095 m) in the State of Paraná, Brazil. According to the Köppen climate classification system, the predominant climate type in this area is Cfb, which represents a humid subtropical climate with a temperate summer (MAACK, 1968). The experimental site, which is located at the Value of Culture and Use Region 1 (VCU 1), is a region of interest because of the increased yield potential and the occurrence of severe frost.
The experiment was setup in a completely randomized block design with four repetitions in a factorial scheme. The following three bread wheat cultivars were evaluated: BRS Guamirim (early cycle), BRS Guabiju (mid-cycle) and Safira (mid-cycle). The following four soft wheat cultivars were evaluated: CD 105 (early cycle), CD 115 (mid-cycle), BRS 179 (mid-cycle) and BRS Umbu (late cycle). The cultivars were planted on the 1st and 15th of June (E1 and E2) and on the 1st and 15th of July (E3 and E4) during the 2007 and 2008 harvesting seasons. These cultivars were chosen because they are the most representative of that region.
In Brazil, wheat cultivars are classified according to the Normative Instruction No. 7 of the Ministry of Agriculture, Livestock and Food Supply (BRASIL, 2001). The different classes vary according to the alveogramW and falling number (FN) with five classes currently known as follows: soft wheat (W > 50 and FN > 200); bread wheat (W > 180 and FN > 200); improver wheat (W > 300 and FN > 250); wheat for different end uses (W = any and FN < 200); and durum wheat (W = not defined and FN > 250).
The useful area of each plot consisted of six rows (5 m in length with 0.17 m spacing) with a total area of 5.1 m2. Initially, a basal amount of 300 kg ha-1 of NPK 08-30-20 was applied. At the early stages of tilling, 40 kg ha-1 of N in the form of urea was applied for fertilization. GY was estimated (kg ha-1) after harvesting the useful area of each plot, and it was corrected to 13% moisture. A thousand kernel weight (TKW) measured in grams (g) was obtained after sampling 250 grains in duplicate. The test weight (TW), which corresponds to the mass of 100 liters of grains (kg hL-1), was determined using a Dalle Molle hectoliter weight balance. The genotypes were characterized using the percentage of pre-harvest sprouting (PHS) with 100 grains randomly collected in each plot. After this, the germinated (rupture of pericarp) and non-germinated grains were counted.
For the analysis of baking quality, individual samples of each treatment were mixed and homogenized resulting in a composite sample. The FN was determined in duplicate using a falling number device from Perten Instruments following method 56-81B of the American Association of Cereal Chemists (AACC, 2000). This test was applied to measure the intensity of the enzymatic activity of the α-amylase enzyme in the grain with the result given in seconds. Low enzymatic activity is associated with elevated values of FN.
The alveogram test (method 54-30A of the AACC, 2000) was performed using a Chopin alveograph. This test refers to the capacity of water absorption by the proteins that comprise gluten and to the capacity to retain carbon dioxide resulting in a quality bread product. Using a manometer, different pressures were recorded, and the alveograph curve was obtained wherein the length, height and a circumscribed area of the curve represent the extensibility (L), tenacity (P) and W-index (W), respectively.
The analysis of joint variance was conducted considering the year effect as random, and the genotype and sowing date were considered as fixed effects. For comparison of mean values, the R computer program was used, and the Scott-Knott test was applied (5%).
To perform the analysis of association between the baking quality parameter of each cultivar and different sowing dates and the association between quality parameters and cultivars, the GGE Biplot methodology was applied (YAN et al., 2000) using the GGE biplot software analysis (YAN, 2001) where the interpretation of the associations is based on the cosine of the angle between the two vectors to be compared. The interpretation rule is: the association is positive if the angle between the vectors is < 90º; it negative if the angle is > 90º; and it is null if the angle is about 90º (YAN; TINKER, 2006). The singular value is entirely partitioned into the entry eigenvectors. Singular value partitioning 1 (SVP 1) is needed for accurate comparison among the entries, while SVP 2 is needed for accurate visualization of the relationship among the testers (YAN et al., 2000).
Results and discussion
The analysis of variance (ANOVA) showed that the effect of the year (Y), sowing date (D), CxY interaction (cultivar x year) and CxYxD (cultivar x year x sowing date) interaction significantly affected the GY (Table 1). The coefficient of variation was 5.2%, which represented good precision of the experiment. The majority of the variation was due to changes in the environment (year = 87% and sowing date = 6%). These results indicated that proportionally, there was a greater variability in the response between years when compared to the sowing dates and cultivars, which can be explained by irregular precipitation, solar radiation and temperature between years and sowing dates; and the frost effects at booting (Figure 1). According to Jalata (2011), there is a greater effect of the environment as compared to the cultivar in such experiments.
In 2007, the CD 105 and Safira cultivars showed the highest GY in all sowing dates and did not differ from the BRS Guamirim and BRS 179 cultivars in E4 (Table 2). Regarding sowing dates, the CD 115, BRS Guamirim and Safira cultivars showed an inferior GY in E1. In this context, it is important to note that experimental site has a greater occurrence of lower temperatures during anthesis for early sowing dates (GONÇALVES et al., 1998).
The occurrence of severe frost during the early stages compromises vegetative development and tiller emission and survival. Early cycle cultivars, such as the BRS Guamirim cultivar, must be preferentially planted in the month of July to avoid damages caused by frost. In 2008, the GY was not different between sowing dates, with the exception of the Safira and CD 105 cultivars (Table 2).
There was a more favorable GY for all the sowing dates in 2008 than in 2007 (Table 3), which may be a result of a better distribution of precipitation, specifically during the early stages of plant development (Figure 1A). Moreover, the maximum and minimum temperatures in 2007 were superior to those observed in 2008 (Figure 1B). Elevated temperatures accelerate the development of the grain filling stage (GAJU et al., 2009), thereby resulting in a reduced deposition of carbohydrates, accumulation of starch in the grains and GY (TRIBOI; TRIBOIBLONDEL, 2002; LABUSCHAGNE et al., 2009).
The following abbreviations are used: ST, sowing time; TW, test weight (kg hL1); TKW, thousand kernel weight (g); PHS, pre-harvest sprouting (%); FN, falling number; W, W-index (10-4 J); P, tenacity; L, extensibility (mm); and P/L, tenacity/extensibility ratio.
The different sowing dates affected the performance of the studied parameters. The TW varied between 78 and 85 kg hL-1 in 2007 (Table 4) and between 75 and 82 kg hL-1 in 2008 (Table 4). The evaluated cultivars showed different reduction levels of TW as a result of the sowing date effect where the greatest reduction (7%) was observed for the BRS Umbu cultivar. Bordes et al. (2008) also observed different genotype behavior due to environmental variations. In both years, there was a negative association of TW with PHS and TKW (Figures 2 and 3). Moreover, there was an elevated consumption of the grain reserve and elevated respiration with increased PHS and decreased TKW, TW and GY (GUARIENTI et al., 2003), which resulted in reduced baking quality.
In 2007, the TKW was superior in sowing dates that maximized the GY (Figure 2; Tables 2 and 4), which indicated a positive association between GY and TKW, except for the CD 115 cultivar (Figure 2). In contrast, TKW was negatively associated with GY in 2008 (Figure 3). The importance of TKW during the formation of GY has been reported in modern cultivars (BORDES et al., 2008).
Wheat with high baking quality must have an elevated W, L and P (BORDES et al., 2008). For the majority of the cultivars, the values of W, P and P/L showed elevated values in E1 and E4 corresponding to 2007 and 2008, respectively (Tables 3 and 4; Figures 2 and 3). For most cultivars, a low L was observed for the flour in E1 and E2, which indicated a negative association with W (Figures 2 and 3).
This result corroborated the study by Scheuer et al. (2011), which reported that high W can result in lower L. However, the BRS Umbu cultivar had a high level of L in all sowing dates (Figures 2 and 3). A high level of L is associated with a low production of flour (MÓDENES et al., 2009).
There was a negative association between W and GY for the majority of the cultivars (Figures 2 and 3), except for the CD 115 (Figure 2F) and CD 105 (Figure 3E) cultivars. Sowing dates subsequent to June specifically promoted GY and reduced W (Figures 2A, 2C, 2F and 3B). Likewise, an elevated W is associated with greater accumulated amounts of proteins (PINNOW et al., 2013), which demands an elevated consumption of carbohydrates. An increased content of proteins causes a decreased accumulation of starch and, consequently, a reduction in GY (RHARRABTI et al., 2001; SCHMIDT et al., 2009).
There was an increase in W during sowing dates in which the period of grain filling occurred simultaneously to the increase in mean, minimum and maximum temperatures (Figures 1B, 1C and 1D; Tables 4 and 5). Moreover, a low magnitude of W was observed in E1 and E2 for the BRS 179, CD 105 and CD 115 cultivars (Figures 3A, 3E and 3F). In the same way, Moldestad et al. (2011) reported that elevated temperatures between the silking and grain filling stage resulted in increased W. However, a temperature increase during this phase leads to a reduction of TKW and GY (RHARRABTI et al., 2003; LABUSCHAGNE et al., 2009; HURKMAN; WOOD, 2011) and promotes a negative association between W and GY. A lower W in E1 and E2 can be attributed to greater precipitation during the grain filling stage (GARRIDO-LESTACHE et al., 2005) and a higher PHS (Figures 2 and 3).
In the grains, PHS results in the degradation of starch and protein. An elevated PHS was observed in E1 for the BRS Guamirim and BRS Umbu cultivars (Figures 2C and 3D) and in E2 for the CD 105, CD 115 and Safira cultivars (Figures 2 and 3). PHS was closely linked to the occurrence of precipitation during the pre-harvest period. The BRS Guamirim cultivar showed a higher value of PHS (7.6) in E3 (2008) as a result of the rainy season preceding maturation (Figure 3C). The extent of the damage caused by PHS in favorable environmental conditions (prolonged precipitation and elevated temperature) depends mainly on the genetic factor (GELIN et al., 2006). The BRS Guamirim cultivar showed the highest PHS among all tested cultivars in both years (Tables 3 and 4).
The falling number method is used to quantify the damages caused by PHS. The FN was elevated in sowing performed in E4 (Tables 3 and 4), which indicated a lower PHS (Figures 2 and 3). A low FN is associated with higher enzymatic activity of α-amylase (elevated PHS). Alterations in PHS and FN can affect the baking quality of wheat, particularly the mass volume, which indicates the amount of end-use flour; thus, an increased FN resulted in greater W (Figures 2 and 3).
In 2007, the BRS Guamirim, BRS Guabiju and Safira cultivars showed high values for baking quality (W, TW, FN, P and P/L) and GY (Figure 4). However, sowing of the BRS Guamirim and Safira cultivars during E1 should be avoided because they exhibited a reduction in GY (Table 2) and a P/L greater than 1.2 (Table 3). The P/L ratio is important as it defines bread volume and structure, which should be between 0.5 and 1.2 for most types of bread (SEBASTIANO et al., 2004). Regardless of sowing date, the BRS Guabiju cultivar showed the lowest PHS (0 to 0.1) and the greatest W (426 to 479) and TW (Figure 4). Independent of sowing date, the BRS Guabiju and Safira cultivars showed improver wheat, and the BRS Umbu cultivar showed bread quality. Moreover, the CD 105 and CD 115 cultivars exhibited a bread quality classification for all sowing dates, except in E1, where they produced soft flour. The BRS Guamirim cultivar was categorized as bread quality in E1 and improver baking quality in the remaining sowing dates (Table 3).
In 2008, the GY was higher than in 2007. The results indicated that it was more difficult to associate elevated grain yield with baking quality independent of the sowing date. Nevertheless, the BRS Guabiju cultivar in E3 and E4 and the Safira cultivar in all sowing dates showed high GY and high baking quality (Table 2 and Figure 5).
The BRS Guamirim and BRS 179 cultivars exhibited high GY and baking quality only in the last sowing date (Figure 5).
Therefore, the BRS Guabiju and Safira cultivars stood out in regard to their wide adaptability to the sowing date and years evaluated with elevated productive potential and baking quality to meet the bakery industry needs (Figures 4 and 5). In particular, the BRS Guabiju cultivar was the only cultivar that was categorized as improver wheat, and this result was obtained in E1 and E2. The Safira cultivar showed bread quality, and the remaining cultivars were classified as soft wheat (BRS 179, BRS Umbu, CD 105 and CD 115) (Table 4). Schmidt et al. (2009) observed that the Safira cultivar stood out among 28 tested genotypes with respect to TW, W and FN; thus, they classified the Safira cultivar as improver wheat.
Conclusion
The results indicated that there was a differential response of the cultivars with respect to baking quality and grain yield in response to the evaluated sowing dates. Sowing that occurred in July yielded greater productivity. Sowing in June maximized the baking quality of wheat, and early-cycle cultivars should be avoided at this sowing date. Sowing dates in which the grain filling occurred under elevated temperature positively affected the W and negatively affected grain yield. Adapted genotypes and an adequate sowing date can maximize the productivity and the baking quality of wheat.
Acknowledgements
The first author acknowledges a fellowship granted by CAPES, Brazil.
Received on February 28, 2012.
Accepted on June 9, 2012.
- AACC-American Association of Cereal Chemists. Approved methods of AACC 10th ed. St. Paul: AACC, 2000.
- BLANCO, A.; MANGINI, G.; GIANCASPRO, A.; GIOVE, S.; COLASSUONNO, P.; SIMEONE, R.; SIGNORILE, A.; VITA, P.; MASTRANGELO, A. M.; CATTIVELLI, L.; GADALETA, A. Relationships between grain protein content and grain yield components through quantitative trait locus analyses in a recombinant inbred line population derived from two elite durum wheat cultivars. Molecular Breeding, v. 28, n. 1, p. 1-14, 2011.
- BORDES, J.; BRANLARD, G.; OURY, F. X.; CHARMET, G.; BALFOURIER, F. Agronomic characteristics, grain quality and flour rheology of 372 bread wheats in a worldwide core collection. Journal of Cereal Science, v. 48, n. 3, p. 569-579, 2008.
- BRASIL. Ministério da Agricultura, do Abastecimento e da Reforma Agrária. Instrução normativa n. 7, de 15 de agosto de 2001. Define as características de identidade e qualidade do trigo. Diário Oficial da União, Brasília, 15 de Agosto de 2001.
- COVENTRY, D. R.; GUPTA, R. K.; POSWAL, R. S.; CHHOKAR, R. S.; SHARMA, R. K.; YADAV, V. K.; GILL, S. C.; MEHTA, A.; KLEEMANN, S. G. L.; BONAMANO, A.; CUMMINS, J. A. Wheat quality and productivity as affected by varieties and sowing time in Haryana, India. Field Crops Research, v. 123, n. 3, p. 214-225, 2011.
- GAJU, O.; REYNOLDS, M. P.; SPARKES, D. L.; FOULKES, M. J. Relationships between large-spike phenotype, grain number, and yield potential in spring wheat. Crop Science, v. 49, n. 3, p. 961-973, 2009.
- GARRIDO-LESTACHE, E.; LÓPEZ-BELLIDO, R. J.; LÓPEZ-BELLIDO, L. Durum wheat quality under Mediterranean conditions as affected by N rate, timing and splitting, N form and S fertilization. European Journal of Agronomy, v. 23, n. 3, p. 265-278, 2005.
- GELIN, J. R.; ELIAS, E. M.; KIANIAN, S. F. Evaluation of two durum wheat (Triticum turgidum L. var. durum) crosses for pre-harvest sprouting resistance. Field Crops Research, v. 97, n. 2/3, p. 188-196, 2006.
- GONÇALVES, S. L.; CARAMORI, P. H.; WREGE, M. S.; BRUNETTA, D.; DOTTO, S. Regionalização para épocas de semeadura de trigo no Estado do Paraná. Revista Brasileira de Agrometeorologia, v. 6, n. 2, p. 239-248, 1998.
- GUARIENTI, E. M.; CIACCO, C. F.; CUNHA, G. R.; DEL LUCA, L. J. A.; CAMARGO, C. M. O. Avaliação do efeito de variáveis meterológicas na qualidade industrial e no rendimento de grãos de trigo pelo emprego de análise de componentes principais. Ciência e Tecnologia de Alimentos, v. 23, n. 3, p. 500-510, 2003.
- HURKMAN, W. J.; WOOD, D. F. High temperature during grain fill alters the morphology of protein and starch deposits in the starchy endosperm cells of developing wheat (Triticum aestivum L.) grain. Journal of Agricultural and Food Chemistry, v. 59, n. 9, p. 4938-4946, 2011.
- JALATA, Z. GGE-biplot Analysis of Multi-environment Yield Trials of Barley (Ordeium vulgare L.) Genotypes in Southeastern Ethiopia Highlands. International Journal of Plant Breeding and Genetics, v. 5, n. 1, p. 59-75, 2011.
- JIANG, D.; YUE, H.; WOLLENWEBER, B.; TAN, W.; MU, W.; BO, Y.; DAI, T.; CAO, W. Effects of postanthesis drought and waterlogging on accumulation of high-molecular-weight glutenin subunits and glutenin macropolymers content in wheat grain. Journal of Agronomy and Crop Science, v. 195, n. 2, p. 89-97, 2009.
- LABUSCHAGNE, M. T.; ELAGO, O.; KOEN, E. The influence of temperature extremes on some quality and starch characteristics in bread, biscuit and durum wheat. Journal of Cereal Science, v. 49, n. 2, p. 184-189, 2009.
- MAACK, R. Geografia física do Estado do Paraná Curitiba: Banco de Desenvolvimento do Paraná, 1968.
- MÓDENES, A. N.; SILVA, A. M.; TRIGUEROS, D. E. G. Avaliação das propriedades reológicas do trigo armazenado. Ciência e Tecnologia de Alimentos, v. 29, n. 3, p. 508-512, 2009.
- MOLDESTAD, A.; FERGESTAD, E. M.; HOEL, B.; SKJELVÀG, A. O.; UHLEN, A. K. Effect of temperature variation during grain filling on wheat gluten resistance. Journal of Cereal Science, v. 53, n. 3, p. 347-354, 2011.
- MOTZO, R.; FOIS, S.; GIUNTA, F. Protein content and gluten quality of durum wheat (Triticum turgidum subsp. Durum) as affected by sowing date. Journal of the Science of Food and Agriculture, v. 87, n. 8, p. 1480-1488, 2007.
- PINNOW, C.; BENIN, G.; VIOLA, R.; SILVA, C. L.; GUTKOSKI, L. C.; CASSOL, L. C. Qualidade industrial do trigo em resposta à adubação verde e doses de nitrogênio. Bragantia, v. 72, n. 1, p. 20-28, 2013.
- RHARRABTI, Y.; ELHANI, S.; NUÑES, V. M.; MORAL, L. F. G. Protein and lysine contente, grain yield, and other technological traits in durum wheat under Mediterranean conditions. Journal of Agricultural and Food Chemistry, v. 49, n. 8, p. 3802-3807, 2001.
- RHARRABTI, Y.; VILLEGAS, D.; ROYO, C.; NÚÑEZ-MARTOS, V.; MORAL L. F. G. Durum wheat quality in Mediterranean environments II. Influence of climatic variables and relationships between quality parameters. Field Crops Research, v. 80, n. 2, p. 133-140, 2003.
- RIBEIRO, T. L. P.; CUNHA, G. R.; PIRES, J. L. F.; PASINATO, A. Phenological responses of Brazilian wheat cultivars to vernalization and photoperiod. Pesquisa Agropecuária Brasileira, v. 44, n. 11, p. 1383-1390, 2009.
- SCHEUER, P. M.; FRANCISCO, A.; MIRANDA, M. Z.; OGLIARI, P. J.; TORRES, G.; LIMBERBER, V.; MONTENEGRO, F. M.; RUFFI, C. R.; BIONDI, S. Characterization of Brazilian wheat cultivars for specific technological applications. Ciência e Tecnologia de Alimentos, v. 31, n. 3, p. 816-826, 2011.
- SCHMIDT, D. A. M.; CARVALHO, F. I. F.; OLIVEIRA, A. C.; SILVA, J. A. G.; BERTAN, I.; VALÉRIO, I. P.; HARTWIG, I.; SILVEIRA, G.; GUTKOSKI, L. C. Genetic variability for bread making quality and grain yield among brazilian wheat genotypes. Bragantia, v. 68, n. 1, p. 43-52, 2009.
- SEBASTIANO, R.; SIMÓ-ALFONSO, E.; CITTERIO, A.; RAMIS-RAMOS, G. Prediction of wheat dough W and P/L inflation test parameters by cappylary zone electrophoresis of a protein extract followed by multivariate regression. Electrophoresis, v. 25, n. 17, p. 2970-2977, 2004.
- SILVA, R. R.; BENIN, G.; SILVA, G. O.; MARCHIORO, V. S.; ALMEIDA, J. L.; MATEI, G. Adaptabilidade e estabilidade de cultivares de trigo em diferentes épocas de semeadura, no Paraná. Pesquisa Agropecuária Brasileira,v. 46, n. 11, p. 1439-1447, 2011.
- SINGH, S.; GUPTA, A. K.; KAUR, N. Effect of sowing time on protein quality and starch pasting characteristics in wheat (Triticum aestivum L.) genotypes grown under irrigated and rain-fed conditions. Food Chemistry, v. 122, n. 3, p. 559-563, 2010.
- TRIBOI, E.; TRIBOI-BLONDEL, A. M. Productivity and grain or seed composition: a new approach to an old problem. European Journal of Agronomy, v. 16, n. 3, p. 163-186, 2002.
- WHEELER, T. R.; HONG, T. D.; ELLIS, R. H.; BATTS, G. R.; MORISON, J. I. L.; HADLEY, P. The duration and rate of grain growth, and harvest index, of wheat (Triticumaestivum L.) in response to temperature and CO2. Journal of Experimental Botany, v. 47, n. 298, p. 623-630, 1996.
- YAN, W. GGEBiplot. A windows application for graphical analysis of multienvironment trial data and other types of two-way data. Agronomy Journal, v. 93, n. 5, p. 1111-1118, 2001.
- YAN, W.; HOLLAND, J. B. A Heritability-adjusted GGE biplot for test environment evaluation. Euphytica, v. 171, n. 3, p. 355-369, 2010.
- YAN, W.; TINKER, N. Biplot analysis of multi-environmet trial data: Principles and applications. Canadian Journal of Plant Science, v. 86, n. 3, p. 623-645, 2006.
- YAN, W.; HUNT, L. A.; SHENG, Q. L.; SZLAVNICS, Z. Cultivar evaluation and mega-environment investigation based on the GGE Biplot. Crop Science, v. 40, n. 3, p. 597-605, 2000.
Publication Dates
-
Publication in this collection
03 June 2014 -
Date of issue
June 2014
History
-
Received
28 Feb 2012 -
Accepted
09 June 2012