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Animal Improvements Program Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705-2350
1 Corresponding author: mkuhn{at}aipl.arsusda.gov
| ABSTRACT |
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Key Words: days dry lifetime production
| INTRODUCTION |
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While both past and current research support the conclusion of lower yield in lactations following dry periods shorter than 60 d, it is also true that dry off causes lost yield in the previous lactation. Yield gained in the previous lactation due to longer lactation length may more than offset yield lost in the subsequent lactation caused by DD < 60. However, there is little research as to the dry period length that maximizes production across adjacent lactations. An older study by Dias and Allaire (1982) appears to be the only published research that directly investigated dry period length to maximize production across adjacent lactations. In general, they found that dry periods of at least 60 d were needed to maximize daily yield across 2 lactations, except for cows with long days open and low production. However, mean lactational milk yield for US Holsteins has increased by more than 4,000 kg since 1980 (Animal Improvement Programs Laboratory, 2005). Thus, modern dairy cows are almost certainly producing at higher levels at the end of lactation than cows from 20 to 30 yr ago and, therefore, dry period length to maximize yield across lactations may have changed over time.
Although knowing the dry period length that maximizes production across adjacent lactations would certainly be beneficial in making recommendations to dairy producers and add to the understanding of the effects of dry period length, even that would not completely address the question of appropriate or phenotypically optimum DD if dry period length also affected number of lactations. If, for example, 30 DD after first lactation maximized yield across first and second lactations but cows with 30 DD were culled much more intensely toward the end of second lactation, then 30 DD may not be optimum. Such a cost in lifetime yield, however, would not be detected by a mere examination of production across adjacent lactations. Determination of DD to maximize lifetime yield would provide more complete information than DD maximizing yield across adjacent lactations. Not only would lifetime yield account for production lost in preceding lactations due to dry off, but also any detrimental (or beneficial) effects of DD on productive life. Research to determine long-term consequences of shortened dry periods, and in particular effects on lifetime production, appears to be quite sparse. Remond et al. (1997) appears to be the only study to even consider the question of lifetime effects of DD, although they encountered some difficulties in their small-scale designed trial, which made conclusions difficult to draw.
The objectives of this research were to determine DD that maximizes milk yield across adjacent lactations and the dry period length that maximizes lifetime milk, fat, and protein yields. Part of the objective was also to determine if these phenotypically optimum dry period lengths depended on parity. Even if 60 DD, for example, were required after first lactation to maximize the sum of first- and second-lactation yields, a shorter dry period might maximize the combined yield after later parities. The effect of DD on lifetime yield was also studied separately for each parity. Effects of dry period length on lifetime DIM were also estimated.
| MATERIALS AND METHODS |
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Actual yields were used instead of 305-d or 305-d mature equivalent yields for 2 reasons. First, farmers are paid for actual production, not extended or mature equivalent production. Secondly, use of extended records could conceal the exact variation that needs to be discovered. If a short dry period, for example, caused problems in the subsequent lactation that resulted in early culling or earlier dry off, then extending records to a 305-d basis would tend to reduce or eliminate that effect. If short lactations are unrelated to DD, then they will occur randomly across dry periods and cause no bias in the analyses. Previous research (Kuhn et al., 2005b) has, in fact, shown that use of extended records does result in underestimation of DD effects on subsequent lactation milk yield, which supports actual production as a more judicious choice of variable for study of DD effects in this research. Thus, actual lactation yields were used in this study and were calculated from test-day records using the test-interval method (Sargent et al., 1968) and the adjustment factors of Shook et al. (1980). Arithmetic means of actual lactational yields and DIM are given in Table 1
for the first 5 lactations of cows used in the adjacent lactation analyses.
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Milk Yield Sums Across Adjacent Lactations.
Only records of US Holstein cows first calving after January 1997 were included. Test-day records past 305 d were not kept prior to 1997 and, therefore, actual yields could not be computed for lactations prior to 1997. For each 2-lactation sum, the latter record (e.g., lactation 2 for Sum12) was required to have been initiated no later than January 2004, which allowed cows a minimum of 1.5 yr to complete their records, because data were extracted in August 2005.
To avoid incomplete records, herds were required to be on continuous test from the time their data was initially included. For most herds, this meant being on continuous test from January 1997 to August 2005. However, the date at which complete lactation information was available varied somewhat across dairy records processing centers because not all centers began sending complete lactation information at the same time. Thus, the January 1997 lower limit for date of inclusion had to be moved forward for some herds. This change in edit affected western herds the most. Cows were also included only if they initiated their first lactation on or after the date of first inclusion for their herd.
Records initiated by abortion were excluded as well as cows known to be embryo transfer donors because either of these could lead to dry periods or lactations of abnormal length. Days dry were required to be between 0 and 120 d in length. Records where DD was more than 120 d were deleted. The restriction to dry periods
120 d had no effect on the results for other DD categories and also accounted for only a small portion of the data. The edit was enforced simply to exclude potentially peculiar cows.
Another important edit on lactation records was that the expected calving date (based on last reported days open) and the actual calving date had to agree within 10 d. Some researchers (Bachman and Schairer, 2003; Grummer and Rastani, 2004) have argued that analyses using DHI data are "biased" because the short dry periods included are primarily those that are unplanned and if the cow had a known calving date, it would have been managed differently for the short DD. This edit ensured that the farmer knew when the cow was going to calve because, in effect, the producer reported it to DHI.
Categories for DD were formed for analysis. The 16 categories used for analysis are defined in Table 2
along with the number of records in each category for each lactational sum. Categories with small intervals are most desirable because they portray the most information in regard to response to increasing or decreasing DD. However, both short and long dry periods were less frequent than more midrange dry period lengths. Therefore, 10-d intervals were used for DD < 31 and DD > 70, to maintain reasonable sample sizes, and 5-d intervals were used for dry periods between 31 and 70 d. After edits, there were, for example, 458,370 records for Sum12 (Table 2
), from 4,173 herds in 44 states.
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All lactations of a cow had to pass each edit in order for the cow to be included. If, for example, a cow had one lactation in which its expected calving date was different than the observed calving date, the cow was eliminated from the analysis. This was necessary to compute lifetime yields and yet still enforce the lactational edits. If even a single lactation for a given cow was removed by an edit, then its lifetime yield could not be computed. After edits, there were 159,904 cows, for lifetime analysis of DD between first and second lactations (Table 3
), from 4,170 herds and 44 states.
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The high phenotypic correlations amongst milk, fat, and protein yield (Welper and Freeman, 1992) would imply the same general patterns of DD effects for fat and protein yields as for milk yield. Therefore, in addressing the question of dry period length to maximize production across adjacent lactations, milk yield only was analyzed as a dependent variable. In contrast, DD effects on lifetime fat and protein yield were estimated in addition to those for milk yield so as to make the actual estimates for lifetime fat and protein available for researchers interested in determining an economically optimum dry period. The effects of dry period length on lifetime DIM were estimated as well.
Arithmetic means were 21,372 kg for Sum12; 22,812 kg for Sum23; and 23,135 kg for Sum34. The overall arithmetic mean lifetime yield for cows with at least 2 lactations, and thus included in the lifetime analysis, was 32,784 kg and mean lifetime DIM was 1,049.
Models for Analysis
Determination of DD to Maximize Milk Yield Across Adjacent Lactations.
The fixed effects, linear model used for analysis of Sum12, Sum23, and Sum34 was:
![]() | [1] |
where y* was the milk yield sum (kg) across adjacent lactation records adjusted for cow effects, HY was herd-year of calving for the lactation preceding the dry period (e.g., lactation 1 for Sum12), YR-ST-MO was year-state-month of calving for the lactation preceding the dry period, DDi was days dry between first and second lactations (DD1) for Sum12, second and third lactations (DD2) for Sum23, or third and fourth lactations (DD3) for Sum34, and Age was age at calving in the lactation preceding the dry period, fit as a linear and quadratic covariate with regression coefficients ß1 and ß2.
The prior adjustment for cow effects was done simply by subtracting estimated cow effects (sum of breeding value and permanent environmental effects) from the 2-lactation sums. Cow effects were estimated using a single trait, repeatability animal model, which was the same as Model [1] but with animal and permanent environmental effects included as well. All lactation sums (Sum12, Sum23, and Sum34) were analyzed simultaneously for estimation of cow effects. Cows were required to have first lactation to be included but did not have to have more than a single lactation. Following the approach of Kuhn and Hutchison (2005), cows with only a single lactation were given their own unique DD category. Cows with only a single lactation were not, of course, used in fitting Model [1] because they would not contribute to estimates of DD effects but were included in the estimation of cow effects to avoid selection bias.
Previous days open was included in a preliminary analysis but was not included in the final models for analysis. The primary effect of including previous days open in the model was to increase differences for long dry periods. In effect, inclusion of days open in the model standardized records for lactation length, which was certainly not desirable in this study. The objective was to determine if the late lactation production of cows with shorter dry periods would offset losses in subsequent lactation yield and inclusion of days open in the model would have been antagonistic to that purpose.
Lifetime.
Three models were used to estimate DD effects on lifetime production, corresponding to 3 different lactations:
![]() | [2] |
![]() | [3] |
![]() | [4] |
where y was lifetime milk, fat, protein (kg), or DIM record, HY1 was herd-year of first calving, LR1 through LR3 were the lactational records for milk, fat or protein for parities 1 through 3, respectively, and Age1 was age at first calving. Estimates for effects of DD1 were from [2], for DD2 from [3], and from [4] for DD3. Previous lactation record was dropped from the model for lifetime DIM.
Use of estimated breeding values as a prior correction for cow effects in the lifetime analyses was complicated by the fact that 1) DD must be in the model for estimation of cow effects to avoid having the DD effect partitioned into the cow effect, and 2) lifetime yields had more than one associated dry period length. Including an extra "missing" category for each DD appeared to result in bias in the estimated breeding values, presumably due to confounding across the various unknown categories (the unknown category for DD3, for example, would contain cows with no dry periods as well as cows with 1, 2, and no dry periods and cows with no dry period would also be in the missing category for DD1 and DD2). Thus, cow effects were corrected for in the lifetime analyses by inclusion of the previous lactation record (previous to the dry period of interest), rather than using a prior correction as was done in the adjacent lactation analyses. A small simulation confirmed that inclusion of the previous lactation record would provide estimates of DD effects that were unbiased by cow effects, even when DD is correlated with previous lactation yield. This is similar to the findings of Kuhn and Hutchison (2005) for estimation of DD effects on subsequent lactation yield.
Preliminary analyses clearly indicated that fitting DD as a categorical variable, rather than as a linear and quadratic covariate, allowed for a much better description of DD effects on lifetime yields. Regression forces the relationship between the 2 variables to conform to a particular pattern (e.g., symmetric about the maximum point for a quadratic regression), which, as the results will show, was not the case.
| RESULTS AND DISCUSSION |
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Although most differences were statistically significant, milk loss for first and second lactations combined was small after a minimum of 41 DD. A dry period of 40 to 45 d appears adequate to maximize milk yield across first and second lactations. In contrast, a minimum of 50 DD after second and later lactations is needed to maximize milk yield across adjacent lactations.
Also noteworthy is the loss in total milk yield across lactations associated with dry periods longer than 60 d after second and later lactations, which is in contrast to the effect of long DD for Sum12. Long dry periods are associated with long days open (Kuhn et al., 2005a) and also with lower yield in subsequent lactation (Kuhn et al., 2005b). Thus, in first lactation it appears that cows continue to produce enough in late lactation to offset the production loss in second lactation, whereas the production for older cows declines to a point, again in late lactation, at which losses in subsequent lactation are not mitigated in the lactation preceding the dry period.
Lifetime Yield and Productive Life
Results for lifetime milk yield are presented in Table 5
. Results are expressed relative to (as a difference from) the minimum DD (category) to maximize lifetime yield. As an example of interpretation, the 2,637 kg in Table 5
for DD1, category 1 means that cows with 0 to 20 DD after first lactation produce 2,637 kg less milk in their lifetimes than cows with 41 to 50 DD after first lactation. Effects of DD on lifetime fat and protein yields are given in Tables 6
and 7
and follow the same general patterns as those for milk yield.
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30 d were substantial, regardless of lactation. Results indicated little benefit for dry periods < 60 d after first lactation. There was essentially no loss in lifetime yield for first-lactation dry periods of only 41 to 50 d but also no gain. In contrast, dry periods of 31 to 40 d may be beneficial after second and later lactations. Maximum lifetime production occurred with 31 to 40 DD after second and third lactations. Although differences between 31 and 60 DD were not statistically significant, they were consistent across lactations 2 and 3 and, within lactation, the 200- to 300-kg losses for 41 to 60 DD contributed to a consistent overall pattern relative to the other DD categories. Thus, in spite of P-values greater than 0.1, it is reasonable to conclude that at least some minor losses in lifetime yield occur when dry period length is between 40 and 60 d after second and later lactations. Losses associated with dry periods between 41 and 60 d (200 to 300 kg) were minor but become at least somewhat relevant when accumulated across all cows in a herd. In a 100-cow herd, for example, a 250-kg/cow loss in lifetime milk yield means 25,000-kg/herd less lifetime milk yield or, with an average of 2.5 lactations/cow and a 420-d average CI, roughly 8,700 kg/herd per yr. At $13.00/cwt, this translates to about $2,500/yr for a 100-cow herd. The main point, however, is simply that dry periods after second and later lactations can be shortened to a minimum of 31 to 40 d without loss in lifetime production. Thus, some dairy producers may benefit from shorter DD for second and later lactation cows if such a practice simplified management or improved health in early lactation, as has been speculated by several researchers (Remond et al., 1992; Gulay et al., 2003; Grummer and Rastani, 2004; Rastani et al., 2005).
Research has shown that dry-off decisions (length of dry period) are based at least in part on factors such as days open and milk yield; that is, there is intentional variation within herd in dry period length (Kuhn et al., 2005a). For farmers wishing to implement shortened DD for part of the herd, it will be important to bear in mind that cows given dry periods less than 60 d will produce less milk in the following lactation than cows given a full 60-d dry period. Therefore, to capitalize on potential benefits of shortened DD, cows that receive fewer DD will need to be culled less intensely than herd mates that may have received longer dry periods, otherwise cows with DD < 60 will not be competitive in terms of lifetime production.
Although recent DD research has focused almost exclusively on the consequences of dry periods shorter than 60 d, one of the most pronounced results in Tables 5
through 7![]()
is the amount of lost lifetime production associated with dry periods more than 60 d. Cows with 90 or more DD, for example, generally averaged over 4,000 kg less lifetime milk yield than cows with only 40 to 60 DD. Even cows with only 70 to 90 DD exhibited substantial losses in lifetime yield. About 11% of all US Holstein lactations have DD > 70 and about 8% have DD > 90 (Kuhn et al., 2005a), which implies substantial costs to US dairy producers. This emphasizes the need for improved fertility because a primary cause of long dry periods is long days open (Kuhn et al., 2005a).
Presumably, most cows with long dry periods are kept, rather than culled, out of virtual necessity for maintaining herd size. An important note then is that part of the lost lifetime yield associated with long DD is also production lost in the subsequent lactation; cows with DD > 70 have lower production in the following lactation than cows with 60 DD (Kuhn et al., 2005b, 2006). Improved longevity would allow more culling on cows that are currently allowed long dry periods instead. However, until such culling is feasible, research on optimal management for long dry periods may benefit dairy farmers, if for example, the lost production following long DD was due to excess body condition gained during an extended dry period.
Effects of DD, for lactations 1 through 3, on lifetime DIM are in Table 8
. The simple correlation between lifetime DIM and lifetime milk yield was 94%. Therefore, the general pattern of results for lifetime DIM was the same as that for lifetime milk. Dry periods less than 60 d after first lactation have no benefit for productive life, even though 40 DD after first lactation is largely adequate to ensure no loss in productive life. For second and later lactations, approximately 40 DD maximizes lifetime DIM with only minor losses for dry periods up to 60 DD.
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These results also present the question as to why cows with shorter dry periods would have greater productive life, especially because they also have lower yield in subsequent lactation. The answer is that the lower yield in subsequent lactation, associated with shorter DD, is also accompanied by fewer days open (Gumen et al., 2005; Kuhn et al., 2006) and better fertility results in longer productive life (VanRaden et al., 2004). It should be noted, however, that this complicates, somewhat, the issue of an economically optimum dry period because the apparent "benefit" to fertility, in lactations following dry periods < 60 d, is due entirely to lower production (Kuhn et al., 2006). Thus, 2 opposing traits are at work in regard to effects of DD on lifetime yield; milk yield is less in lactations following dry periods < 60 d (Annen et al., 2004; Madsen et al., 2004; Gulay et al., 2005; Kuhn et al., 2005b; Rastani et al., 2005) and is not, in general, entirely compensated for by more DIM in the previous lactation (Table 4
); however, the lower yield in subsequent lactation is also accompanied by better fertility, which results in more lifetime DIM. It is emphasized that the phenotypic consequences of shortened dry periods have been established: short DD (3040 DD)
lower milk in subsequent lactation
fewer days open in subsequent lactation
longer productive life
higher lifetime yield and what remains is much more an economic question rather than a question of phenotypic consequences.
Perhaps the best overall recommendation that can be made to producers in regard to dry period length is to first consider their own particular situation (labor, parlor pressure, pen space, feeding regimens, and so on) and if circumstances allow or favor shortened DD then 1) maintain 50 to 60 DD for first-lactation cows because there is little if any benefit to even lifetime performance for DD < 50; 2) 30 to 40 d dry periods after second and later lactations could be beneficial to lifetime performance and can certainly be utilized without detriment to lifetime yield; 3) avoid dry periods less than 30 d after any lactation; and 4) avoid dry periods longer than 70 d.
| CONCLUSIONS |
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In contrast to the dry period lengths needed to maximize yield across adjacent lactations, 41 to 50 DD after first lactation and only 31 to 40 DD after second and later lactations are adequate to maximize lifetime production. These shorter dry periods are adequate to maximize lifetime yield because cows with shorter DD have more lifetime DIM. The longer productive life associated with dry periods of 31 to 40 d is presumably due to the better fertility associated with shorter DD, although the better fertility has been shown in previous research to be due entirely to lower yield. Thus, whether the dry period length that maximizes lifetime yield also maximizes lifetime profit needs further research.
Dry periods less than 30 d, after any lactation, are detrimental to lifetime yield and should be avoided. However, provided the 30-d minimum dry period length is met, there is little difference in lifetime yield for dry periods up to 60 d long.
The most pronounced effect of DD on lifetime yield is not for short DD but rather for long DD, especially for dry periods longer than 90 d. Dry periods longer than 90 d result in over 4,000 kg less lifetime milk yield than dry periods of 40 to 60 d. Even dry periods of 70 to 80 d result in about 2,500 kg less lifetime milk yield. Previous research has shown that long DD are due in part to long days open. These costs in lifetime yield emphasize, therefore, the need for improved fertility and longevity so that long dry periods can be avoided.
Received for publication November 9, 2005. Accepted for publication December 12, 2005.
| REFERENCES |
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