Grain number dominates grain weight in temperate cereal yield determination: Evidence based on 30 years of multi-location trials

Peltonen‐Sainio, Pirjo; Kangas, Arjo; Salo, Yrjö; Jauhiainen, Lauri

doi:10.1016/j.fcr.2006.07.002

Cited by 204 publications

(141 citation statements)

References 19 publications

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“…Although heading date varied significantly between cultivars, no clear improvement trend according to the year of release was observed (data not shown). In addition, in oats, heading date was not significantly correlated with the year of release (Peltonen-Sainio et al, 2007). Despite the absence of a clear trend in heading date respective to breeding, Foulkes et al (2009) reported that the increase in duration of stem elongation remains a significant goal in modern cereal breeding.…”

Section: Resultsmentioning

confidence: 99%

The variation of agronomic traits associated with breeding progress in winter barley cultivars

Mirosavljević

Momčilović

Pržulj

et al. 2016

Zemdirbyste-Agriculture

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In the 20 th century, grain yield of winter barley has increased due to advances in both breeding and crop management practices. Knowledge about the association of agronomic traits with genetic gains in yield potential is necessary to improve future breeding programs. Therefore, we studied the variation in grain yield, spike length, heading date, thousand grain weight, hectolitre mass and plant height of two-rowed winter barley cultivars that were released between 1977 and 2010, in a 2-year field trial. Our results showed that most of the analyzed traits were significantly affected by the cultivar, year and cultivar-by-year interaction. The present study showed that grain yield was positively correlated with the year of release. The average rate of grain yield increase in Serbia was 46 kg ha -1 per year. Further, grain yield was negatively correlated with plant height and heading date. Plant height and hectolitre mass of modern cultivars showed a significant declining trend, from the oldest to the newest cultivars. An improved understanding of the changes in agronomic traits over the last 40 years of barley breeding will help to identify targets for further breeding progress and improve the genetic potential of barley.

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Section: Resultsmentioning

confidence: 99%

The variation of agronomic traits associated with breeding progress in winter barley cultivars

Mirosavljević

Momčilović

Pržulj

et al. 2016

Zemdirbyste-Agriculture

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“…Increases in the number of grains per m 2 and harvest index with non-significant changes, or even with decreases, in average weight of the grains have caused the genetic gains in bread wheat yield (e.g. Austin et al 1980a;Calderini et al 1995;Peltonen-Sainio et al 2007;Slafer et al 1990Waddington et al 1987). The relevance of improvements in grain number in determining yield gains was confirmed even under Mediterranean conditions characterised by terminal stress (Acreche et al 2008;Perry and D'Antuono 1989;Siddique et al 1989).…”

Section: Introductionmentioning

confidence: 89%

Physiological attributes associated with yield and stability in selected lines of a durum wheat population

et al. 2011

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Further increasing yield potential remains one of the main objectives of wheat breeding, even in stressful environments. In general, past genetic gains were associated with increases in harvest index, and future gains should be related to greater biomass. Identifying genetic sources for such improvement may be relevant. Researchers of TRITIMED identified DH lines of durum wheat apparently possessing not only high yield potential but also good yield stability. We aimed to determine physiological attributes responsible for yield and stability among a set of genotypes derived from two parents (Cham 1 and Lahn) and four of the most promising lines of the DH population (2401, 2408, 2410, 2517). Seven field trials were carried out within the Mediterranean agricultural region of the Ebro Valley, under a wide range of conditions (ca 2-10 mg ha -1 ). In four of these experiments, sub-plots were included with source-sink manipulations imposed after anthesis. Cham 1, a cultivar known for high yields in semi-arid conditions, showed the highest yield potential. Although it showed less yield stability than Lahn, even under the lowest yielding conditions its yield was not significantly lower than that of Lahn. RILs 2408, 2410, 2004 and 2517 slightly outyielded Lahn in high-yielding conditions, but under poorer environments they tended to yield less. Interestingly, yield differences were closely related to their biomass rather than harvest index. Thus yield differences relating to the number of grains per m 2 were due to differences in spike dry matter at anthesis, reflecting in part genotypic differences in crop growth from jointing to anthesis. In general grain weight did not respond to spike trimming after anthesis, although in two experiments the grain weight of Cham 1 did so. Thus, even the highest-yielding cultivar possessed grains that overall seemed more limited by its constitutive capacity to grow than by the availability of resources to reach this capacity (though occasionally they may be co-limited). Overall, the most interesting feature was the empirical evidence that improvement of biomass within elite material is a worthwhile objective.

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“…Respectively, the infrared reflectance (ρ RED /Rf 3 ) reached maximum values in July (c p ) and near-infrared reflectance (ρ NIR /Rf 4 ) in June (b p ). Previous crop physiological studies (Ledent [75], Reynolds et al [76]) and in Finland Laurila [41] and Peltonen-Sainio et al [77,78] have emphasized the role of cereal flag leaf and the 2nd uppermost leaf below the cereal head for final baseline (y b ) yield determination. According to Reynolds et al [76] the flag leaf area through LAI and flag leaf dry-weight through Harvest Index (HI) were significant yield component factors, when setting the final yield levels for wheat ideotypes grown under actual non-potential field conditions.…”

Section: Implications From the Optical Infrared Reflectance Data For mentioning

confidence: 99%

Cereal Yield Modeling in Finland Using Optical and Radar Remote Sensing

et al. 2010

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Optical VGI yield estimates were validated with CropWatN crop model yield estimates using SPOT and NOAA data (mean R 2 0.71, RMSE 436 kg/ha) and with composite SAR/ASAR and NDVI models (mean R 2 0.61, RMSE 402 kg/ha) using both reflectance and backscattering data. CropWatN and Composite SAR/ASAR & NDVI model mean yields were 4,754/4,170 kg/ha for wheat, 4,192/3,848 kg/ha for barley and 4,992/2,935 kg/ha for oats.

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Grain number dominates grain weight in temperate cereal yield determination: Evidence based on 30 years of multi-location trials

Cited by 204 publications

References 19 publications

The variation of agronomic traits associated with breeding progress in winter barley cultivars

The variation of agronomic traits associated with breeding progress in winter barley cultivars

Physiological attributes associated with yield and stability in selected lines of a durum wheat population

Cereal Yield Modeling in Finland Using Optical and Radar Remote Sensing

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