Maize hybrids less dependent on high plant densities improve resource-use efficiency in rainfed and irrigated conditions

Tokatlidis, Ioannis S.; Haş, V.; Melidis, Vassilios; Haş, Ioan; Mylonas, Ioannis; Evgenidis, G.; Copandean, A.; Ninou, Elissavet; Fasoula, Vasilia A.

doi:10.1016/j.fcr.2010.11.006

Cited by 101 publications

(92 citation statements)

References 15 publications

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“…In a recent article, Fasoula and Tokatlidis (2012) comprises the coefficient of entry yield, x=x t ð Þ 2 , where x t is the overall mean in the trial, and the coefficient of homeostasis, x=s ð Þ 2 . Reliability of the ECYP to assess the value of hybrids was investigated recently by Tokatlidis et al (2011). They included one set of seven population-dependent hybrids, while the second set consisted of six experimental hybrids from those improved via honeycomb breeding for plant yield potential (Tokatlidis et al 1998) and found to be partially population-neutral (Tokatlidis 2001;Tokatlidis et al 2001).…”

Section: Development Of Population-neutral Hybridsmentioning

confidence: 99%

“…Planting at lower populations is recommended in drought-prone environments, where the available resources cannot support a high plant population (Norwood 2001;Kiniry et al 2002;Blumenthal et al 2003;Shanahan et al 2004;Duvick 2005;Tokatlidis et al 2011;Berzsenyi and Tokatlidis 2012). In addition, special emphasis has been placed on the time required for a hybrid to reach maturity.…”

Section: Current Crop Management Statusmentioning

confidence: 99%

“…For example, a significant negative correlation between PYP and OP(q) is computable from data of Berzsenyi and Lap (2005) including five hybrids across three seasons (r0−0.59; P< 0.08). A negative correlation between PYP and OP(D) is also computed from data of Tokatlidis et al (2011) regarding each of two sets of seven hybrids tested across two seasons, i.e., r0−0.78 (P<0.001) and r0−0.69 (P<0.007), as well as from data of Berzsenyi and Tokatlidis (2012) across three hybrids equivalent in CYP, 11 seasons, and three N-fertilizer treatments (100-300 Nkg/ha), i.e., r0−0.43 (P<0.001). Other studies providing additional evidence of this negative correlation are discussed in the following sections.…”

Section: Environmental Yield Index (Eyi) and Crop Yield Potential (Cyp)mentioning

confidence: 99%

“…Duncan's (1958) method was used to calculate optimum population (OP(D)) when the quadratic model did not fit or the range of plant densities included fewer than four treatments. According to this method, optimum density equals 1/b, where b is the slope of the linear regression of natural logarithm of yield per plant over density (Tollenaar 1992;Tokatlidis 2001;Tokatlidis et al 2011;Berzsenyi and Tokatlidis 2012). Although Duncan's (1958) method is, in part, an artifact of the estimation of OP, it approaches the differences among estimated values fiducially (Tollenaar 1992;Tokatlidis and Tsialtas 2008;Berzsenyi and Tokatlidis 2012).…”

Section: Introductionmentioning

confidence: 99%

“…3 The relationship of the direct estimate of plant yield potential, i.e., grain yield per plant at the ultra-low population of 0.74 plants/m 2 deemed to proximate absence of competition, with the indirect estimate of PYP by the Yan and Wallace (1995). Data across two seasons from a set of seven, a short-season (y00.76x+45.3; R 2 00.99; P<0.001) and b long-season hybrids (y00.86x+14.4; R 2 00.99; P<0.001) from Tokatlidis et al (2011) a comparatively good estimate of individual-plant yield capacity at very low populations. Tokatlidis (2001) came to the same conclusion.…”

Section: Introductionmentioning

confidence: 99%

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Adapting maize crop to climate change

Tokatlidis

2012

Agron. Sustain. Dev.

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Global weather changes compel agriculture to be adequately productive under diverse and marginal conditions. In maize, modern hybrids fail to meet this requirement. Although breeding has achieved spectacular progress in grain yield per area through improved tolerance to stresses, including intense crowding, yields at low plant population densities remain almost unchanged. Stagnated plant yield potential renders hybrids unable to take advantage of resource abundance at lower populations, designating them population dependent. Consequently, the optimum population varies greatly across environments. Generally, the due population increases as the environmental yield potential gets higher. As a remedy, relatively low populations are recommended for low-input conditions leading to inappropriate population in occasional adequacy of resources and considerable yield loss. For example, for a rain-fed hybrid tested at one location across 11 seasons, crop yield potential and optimum population on the basis of the quadratic yield-plateau model varied from 1,890 to 8,980 kg/ha and 4.56 to 10.2 plants/m 2 , respectively, while 100 % yield loss is computed in the driest season if the optimum population for the most favorable season is used. The article reviews the consequences in terms of crop sustainability under widely diverse environments imposed by climatic changes and proposes crop management strategies to address the situation. The major points are: (1) variableyielding environments require variable optimum populations, (2) population dependence is an insurmountable barrier in making a decision on plant population, (3) farmers suffer from considerable yield and income loss, (4) estimating the less population-dependent hybrids among the currently cultivated ones is a major challenge for agronomists, and (5) the development of population-neutral hybrids is a fundamental challenge for maize breeding. Honeycomb breeding is a valuable tool to pursue this goal since it places particular emphasis on the so-far stagnated plant yield potential that is essential for population-neutral hybrid development.

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Section: Development Of Population-neutral Hybridsmentioning

confidence: 99%

Section: Current Crop Management Statusmentioning

confidence: 99%

Section: Environmental Yield Index (Eyi) and Crop Yield Potential (Cyp)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adapting maize crop to climate change

Tokatlidis

2012

Agron. Sustain. Dev.

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Prognostic Breeding: A New Paradigm for Crop Improvement

Fasoula¹

2013

Plant Breeding Reviews

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Maize nitrogen use efficiency improved due to density tolerance increase since the 1950s

Ming

et al. 2020

Agronomy Journal

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Meeting maize (Zea mays L.) production targets of high grain yields and nitrogen use efficiency (NUE) requires the development of stress-tolerant cultivars and corresponding cultivation practices that maximize efficiency. Therefore, our objectives were to (i) determine the impacts of N application rate, planting density, and maize cultivar (which have improved with each successive release date) on the N partial productivity factor (PFP N ) and N agronomic efficiency (AE N ), and to (ii) characterize the responses of maize cultivars indexes to different cultivation conditions. We found that maize PFP N and AE N values were affected by N application, planting density, and cultivar. The PFP N and AE N declined with increasing N but increased with increasing planting density or genetic improvement (i.e. later year of release). The responses of PFP N and AE N to planting density and N application, taken either as single factors or as interacting factors, were greater for recently released cultivars than for older cultivars. The PFP N and AE N values were not automatically associated with maize yields, indicating that the genetic improvements that led to increases in PFP N and AE N were due to unconscious selection. Thus, improvements in NUE resulted from improvements in cultivars' tolerance to planting density stresses and from cultivation practices that employed higher planting densities from the 1950s to 2010.Abbreviations: AE N , agronomic efficiency of nitrogen; NUE, nitrogen use efficiency; PFP N , partial factor productivity of nitrogen.

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Maize hybrids less dependent on high plant densities improve resource-use efficiency in rainfed and irrigated conditions

Cited by 101 publications

References 15 publications

Adapting maize crop to climate change

Adapting maize crop to climate change

Prognostic Breeding: A New Paradigm for Crop Improvement

Maize nitrogen use efficiency improved due to density tolerance increase since the 1950s

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